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Genei is a UK-based AI startup focused on revolutionizing the research and summarization process. Their platform leverages natural language processing to help students, researchers, and professionals extract and synthesize information from long-form content such as academic papers, web articles, and PDFs. Founded by Cambridge graduates, Genei aims to democratize access to information and make the research process faster and more efficient. The company’s mission is to save time and boost productivity by streamlining the way users understand complex documents. With growing attention to information overload and the need for accessible academic tools, Genei is filling an important gap in the edtech and productivity market. | https://www.genei.io | Private | "Smarter research, faster." | London, United Kingdom | 2020 | Y Combinator (W21 batch), Cambridge University links | Growth | Genei offers a subscription-based AI-powered platform that helps users summarize articles, extract keywords, and auto-generate bullet points from long-form content. It integrates with PDFs, websites, and academic search engines to streamline the research workflow. The product targets students, writers, and research professionals, offering browser extensions and cloud-based tools. | Traditional research is time-consuming and inefficient. Academic papers and online content often require hours to read and understand. | Genei’s platform provides instant summaries, key point extraction, and document linking, reducing the time spent on reading and comprehension. | Genei allows users to save hours of reading time while retaining key insights through automated summarization and note-taking tools | Subscription-based model with monthly and yearly pricing tiers. Offers a free trial, then charges users based on premium features such as unlimited summaries, multi-document support, and priority processing. | Genei’s tech stack includes natural language processing models trained for summarization and keyword extraction. The platform integrates with academic databases, Chrome extensions, and web scrapers. It uses cloud computing for document processing and relies on AI models optimized for understanding academic language and structure. | Genei has emerged as a strong player in the academic productivity and edtech space. By leveraging AI to solve a real pain point—time-consuming research and reading—it offers a clear and powerful value proposition to students and professionals alike. Its integration with PDFs, web browsers, and summarization tools creates a seamless workflow for users needing faster insight extraction. Though still in early stages, its acceptance into Y Combinator, consistent product updates, and positive feedback across social platforms indicate strong future potential. The leadership team’s academic background contributes to a mission-aligned company culture and long-term growth strategy. With modest funding but a focused product and loyal user base, Genei represents the kind of niche AI startup with real-world impact and room to grow within both educational and commercial research sectors. | /content/drive/MyDrive/engin183profiles/AIML Profile/bashirosaydasif_LATE_5670978_91426619_Spring2025_BusinessProfileFormat-3.docx | AIML Profile | estimated <$1M ARR | As a privately held company, Genei does not have a publicly disclosed market capitalization. | Genei.io is not a publicly traded company | $125K (Y Combinator seed) | null | As Genei is a privately held company, it does not have publicly disclosed financial metrics such as the Price-to-Earnings (P/E) ratio or profit margins | 4 | 4 | 5 | 4 | 3 | 4 | 4 | 5 | 4 | 5 | 4 | 4 |
Monica, founded in 2022 by Xiao Hong, is a Chinese artificial intelligence startup dedicated to developing advanced autonomous AI agents. The company's flagship product, Manus AI, launched on March 6, 2025, is designed to independently perform complex tasks across various domains without continuous human intervention. Monica's mission is to bridge the gap between human intent and execution by creating AI solutions that enhance productivity and efficiency in both professional and personal settings. | https://manus.im/ | Private | Turning Thoughts into Actions | Beijing, China | 2022 | Sequoia China, Tencent | Growth | Monica's primary offering is Manus AI, an autonomous AI agent capable of executing a wide range of tasks, including: Creating custom websites Analyzing stock market trends Planning travel itineraries Managing schedules Conducting market research Manus AI integrates various tools such as coding, web browsing, and data analysis to deliver comprehensive results with minimal user intervention. | Traditional AI assistants require continuous user input and are limited in handling complex, multi-step tasks. | Manus AI autonomously plans and executes intricate tasks, reducing the need for constant human guidance. | By automating complex workflows, Manus AI enhances productivity and allows users to focus on higher-level decision-making. | Monica operates on a subscription-based model, offering: Standard Plan: $39 per month Upgraded Plan: $199 per month | Manus AI leverages advanced artificial intelligence techniques, including: Large Language Models (LLMs) Transformer Networks Reinforcement Learning The platform supports multi-modal processing, enabling it to handle text, images, and code. It integrates with external APIs and real-time data processing tools to enhance its autonomous task execution capabilities. | Monica, the company behind Manus AI, has achieved early success by developing a novel AI agent that fills a critical need in the next wave of AI products—autonomous task execution. In a market dominated by reactive chatbots, Manus presents a proactive and hands-free alternative. The company's strategic vision, excellent timing, and heavy investor backing positioned it perfectly to ride the AGI wave of 2025. The team’s ability to convert viral interest into a subscription product with millions on the waitlist suggests strong commercial instincts. Despite limited public data on financial performance or international rollout, the Manus story so far represents a best-case scenario for Chinese AI startups trying to compete with U.S. firms like OpenAI and Anthropic. With ongoing product improvements and global expansion, Manus AI is poised to remain a major player in the AI agent space. | /content/drive/MyDrive/engin183profiles/AIML Profile/beheradebasish_5795058_91426095_Spring2025_BusinessProfileFormat.docx | AIML Profile | null | null | null | Raised over $10 million in initial funding; seeking additional funding at a valuation of approximately $500 million | Not publicly disclosed | Not applicable (private company) | 5 | 4 | 5 | 4 | 5 | 3 | 4 | 4 | 3 | 5 | 5 | 4 |
Fireflies.ai is an AI/ML-driven productivity startup founded in 2016 and headquartered in San Francisco, California. The company focuses on building an AI assistant that helps teams record, transcribe, and analyze meetings seamlessly. Its core mission is to make work communication more searchable and actionable by automating note-taking and collaboration workflows. By leveraging state-of-the-art natural language processing (NLP) and voice recognition technologies, Fireflies.ai transforms how professionals manage meetings and follow-ups. | https://www.fireflies.ai | Private | "Never take meeting notes again" | San Francisco, CA, USA | 2016 | Canaan Partners, angel investors, YC (Y Combinator) alum | Growth Stage | Fireflies.ai offers an AI meeting assistant that automatically records, transcribes, summarizes, and analyzes voice conversations from meetings. It integrates with popular video conferencing platforms like Zoom, Google Meet, Microsoft Teams, and more. Features include action item detection, keyword tracking, speaker identification, and integrations with tools like Slack, Notion, and Salesforce. | Teams waste valuable time on manual note-taking, follow-ups, and trying to recall key meeting insights. This leads to information loss, miscommunication, and lower productivity. | Fireflies.ai automates the end-to-end meeting documentation process, from recording and transcribing to summarization and insight generation. | Boosting team productivity and collaboration by turning conversations into searchable, actionable knowledge — without the need for manual effort. | Fireflies.ai follows a freemium SaaS model with paid plans for premium features. Revenue comes from monthly and annual subscriptions offered to individuals, teams, and enterprises. Custom pricing available for large organizations. | Fireflies.ai utilizes proprietary speech-to-text engines, natural language processing (NLP), deep learning models, and voice AI. Its scalable infrastructure supports multi-language transcription, integrations with APIs, and end-to-end data encryption for privacy and security compliance. | Fireflies.ai is redefining how meetings are documented and utilized. By removing the burden of note-taking through AI, it empowers individuals and teams to focus on meaningful conversations while ensuring that key details are captured and made accessible. Its seamless integrations and intuitive UX make it a go-to productivity tool for both startups and enterprise teams.
With backing from Canaan Partners and Y Combinator, Fireflies.ai has grown its user base to over 10 million and continues to expand globally. As hybrid and remote work remain the norm, the company is well-positioned to capitalize on the demand for AI-driven productivity solutions. Its steady innovation and integrations with top workplace tools reflect a strong roadmap and user-first ethos.
Fireflies.ai combines AI, usability, and business acumen to deliver a product that not only saves time but also enhances collaboration, insight, and follow-through in the modern workplace. | /content/drive/MyDrive/engin183profiles/AIML Profile/bhatiasuveer_5794124_91351694_Futurist Class AI Startup Company Profile Fireflies.docx | AIML Profile | null | N/A (Private company) | N/A | Estimated ~$19 million raised (Seed + Series A) | N/A | N/A | 5 | 4 | 4 | 5 | 3 | 4 | 4 | 5 | 4 | 5 | 5 | 5 |
Otter.ai is a California-based AI startup focused on transforming how individuals and organizations transcribe, summarize, and manage conversations. Founded in 2016 by Sam Liang, a former Google engineer, Otter.ai uses cutting-edge speech recognition and natural language processing to provide automated meeting notes and live transcriptions for professionals, educators, and business teams. Otter's mission is to make information from conversations instantly accessible and shareable, allowing users to focus on interactions without worrying about note-taking. The company has become a favorite among remote workers, educators, journalists, and executives, especially in the post-pandemic era of hybrid work. With integrations into Zoom, Google Meet, Microsoft Teams, and more, Otter has positioned itself as an essential productivity tool in the new digital workplace. | https://otter.ai | Private | Meetings work better with Otter | Mountain View, CA, USA | 2016 | Spectrum Equity, Fusion Fund | Growth | Otter.ai offers several core services, including live transcription, AI-generated summaries, keyword extraction, and collaborative note-taking tools. Users can record conversations via desktop or mobile apps, receive real-time transcriptions, and search and share highlights. Key features include Otter Assistant (auto-joins meetings to record and transcribe), speaker identification, and secure cloud storage. Otter integrates with major platforms like Zoom, Dropbox, Google Meet, and Microsoft Teams | Professionals struggle to capture and process information from meetings and interviews, resulting in inefficiencies and lost insights. | Otter uses AI to deliver automated, searchable transcriptions and summaries in real time, enhancing productivity and focus. | Otter saves users time and improves information retention by eliminating manual note-taking, offering seamless collaboration and recall of important content | Otter operates under a Freemium-to-Subscription model. Free users get limited minutes and features; premium users pay monthly or annually for full access. Pricing tiers include Pro, Business, and Enterprise, with metrics focusing on active users, minutes transcribed, and integrations used. | Otter leverages deep learning, speech-to-text models, and NLP algorithms for transcription, summarization, and keyword tagging. Its tech stack includes TensorFlow, AWS for cloud infrastructure, and React/Node.js for front-end and backend services. Otter continually trains its AI models using anonymized audio data to improve accuracy and speaker separation. | meeting summarization tools tailored for the Western market, particularly in English-speaking business and academic settings. Launched in 2016, the company has benefited from a sharp rise in remote and hybrid work environments, providing professionals with accurate, easy-to-use tools to streamline communication and collaboration. Compared to international competitors like China’s iFLYTEK, Otter.ai stands out for its tight integration with widely used Western platforms such as Zoom, Google Meet, and Microsoft Teams. While iFLYTEK dominates the Asian market with its broad multilingual support and hardware-based transcription tools, Otter’s advantage lies in its cloud-first, software-only model, user-centric design, and strong privacy positioning—important factors for Western enterprise customers. Otter.ai’s success is grounded in its timing, focus, and ability to simplify complex AI for everyday use. By prioritizing seamless workflow integration, live transcription accuracy, and accessible pricing models, Otter has become a trusted digital assistant for millions, proving its value in an increasingly voice-first, globalized workspace. | /content/drive/MyDrive/engin183profiles/AIML Profile/caiyuxuan_5658052_91419437_Spring2025_BusinessProfileFormat_AI.docx | AIML Profile | ~$20–30 million | null | null | ~$50M | null | null | 5 | 5 | 4 | 5 | 3 | 4 | 5 | 5 | 4 | 5 | 5 | 5 |
Ataraxis AI is a company founded by researcher and medical doctor Jan Witowski and professor Krzyztof Geras of NYU school of medicine. The company utilizes AI methodologies to personalize and enhance effectiveness of cancer diagnostics and treatments. The mission of the company is to empower physicians with advanced tools, in this case AI, to enable better patient care and health outcomes. The company’s current focus is to address the challenge of cancer prognosis and treatment selection by integrating clinical, morphological, and molecular information of the patient with AI models. | ataraxis.ai/ | Private | Transforming Cancer Care with AI Precision Medicine | New York | Oct 2022 | AIX Ventures, Floating Point, Thiel Bio, Founders Fund, Bertelsmann Investments | Growth | The company offers AI powered tools for precision oncology. The main product is called Ataraxis Breast, which according to the company’s website, is: “the first clinically validated AI-native prognostic/predictive test for invasive breast cancer. Ataraxis Breast uses multi-modal patient data, including pathology slides from standard biopsy and surgery specimens, to predict patient outcomes and help personalize treatment decisions in all breast cancer subtypes”. | Inefficiencies within cancer care: treatment | Personalized treatment plan, improvement in accuracy, reducing the turnaround times | The application of artificial intelligence to revolutionize cancer care, from prognosis to treatments. | Advertising, Fixed Price, Subscription, VAD/VAR, Channel, Subscription. Include metrics. | The technology leveraged by the companies involves a multi-model, deep learning infrastructure that integrates pathology data from scans along with medical inputs. Furthermore, “all Ataraxis tests are based on AI foundation models, such as Kestrel, trained with hundreds-of-millions of pan-cancer pathology slide images, that extract novel information about tumor morphology which strongly correlate with patient outcomes and treatment response”. | A recurring problem in AI for early-stage cancer detection is the scarce of resources/data to access these pathological images. However, one major reason for this companies’ success is because its members are all professionals of the medical field, which means that they do have prompt access to resources such as these images necessary to train their model, especially early-stage cancer data which would factor into their accuracy for diagnostics. Furthermore, the timing very on par since a large current trend is the integration of AI with science. | /content/drive/MyDrive/engin183profiles/AIML Profile/chenchuzida_LATE_5664963_91431520_AI or ML Business Profile.docx | AIML Profile | null | null | null | $20 M/Series A
$4.05M/Seed Round | null | null | 4 | 4 | 5 | 5 | 5 | 5 | 5 | 4 | 4 | 5 | 5 | 5 |
Stability AI is a generative AI company founded in 2019 by Emad Mostaque, best known for developing Stable Diffusion, a widely used text-to-image model launched in 2022. The company initially emphasized open-source development, partnering with research groups like CompVis at LMU Munich and Runway ML to advance diffusion-based image generation. While early models were freely available, newer releases like Stable Diffusion 3 have moved toward more restrictive licensing, reflecting a strategic shift. Designed to run on consumer-grade hardware, Stability AI’s tools offer accessible alternatives to cloud-based platforms, helping broaden adoption across users and industries.
Operating on a hybrid business model, Stability AI combines open-source tools with enterprise services, including custom model development, API access, and strategic partnerships with companies such as Amazon AWS and Arm. Its portfolio has expanded beyond images to include Stable LM for language generation, Stable Code for software development, and Stable Audio Open for music synthesis. Despite internal challenges—ranging from leadership changes to financial pressures—the company remains influential, with over 150 million downloads and an active developer community. While Stability AI promotes transparency and decentralization, questions remain around data sourcing and intellectual property rights. | https://stability.ai | Private | A model for generating professional-grade images | London, United Kingdom | 2019 | Greycroft, Coatue Management, Lightspeed Venture Partners, Sean Parker, Eric Schmidt, and Prem Akkaraju. | Growth | Stability AI is known for building open-source generative AI models and APIs across images, video, audio, and language. Its best-known product, Stable Diffusion, lets users turn simple text prompts into detailed, photorealistic images. The company has also expanded into other areas with tools like Stable Video Diffusion for generating video, Stable Audio for music and sound, and enterprise-grade APIs for scaling AI across larger platforms. Beyond its products, Stability AI actively supports a growing community of open-source projects and research collaborations. | High barriers to entry for high-performance generative AI tools. | Open-source, scalable AI models with accessible APIs and flexible licensing. | Empower creators and businesses with state-of-the-art generative AI technology, without the gatekeeping. | DreamStudio API : Monetization of Stable Diffusion via pay-per-use mode, targeting small developers and businesses. Drove revenue growth from $2.1M (2021) to $44.2M (2023).
Enterprise Services & Consulting: Custom AI deployments for large clients.
Subscription Memberships: Provide Freemium membership. $20 for Pro and custom pricing for enterprise.
Strategic Partnerships: Collaborations with AWS, Intel, and NVIDIA to help reduce infrastructure costs and improve scalability
• Revenue: $44.2M
• Valuation: ~$1B (post-$101M raise in 2022)
• Compute Costs: ~$99M annually
• Projected Loss: ~$153M
• Developers: 300K+
• Model Downloads: 150M+ | null | Stability AI’s rise can be attributed to its bold commitment to open-source innovation at a time when the AI industry is becoming increasingly proprietary. By releasing powerful, public-facing models like Stable Diffusion, it not only disrupted the generative AI landscape but also empowered a new generation of creators and developers globally.
While the company faces challenges in monetization and scaling compared to Big Tech players, its distinct positioning, vibrant community, and strong research pipeline continue to set it apart. Stability AI represents a compelling example of how mission-driven AI startups can compete at the frontier of innovation, with openness and accessibility at their core. | /content/drive/MyDrive/engin183profiles/AIML Profile/choirene_LATE_5794794_91426451_Spring2025_BusinessProfile_AI_Yeeun Cho.docx | AIML Profile | $33.3M | N/A (Private) | null | $256M (Series C) | null | null | 4 | 3 | 5 | 3 | 3 | 4 | 4 | 5 | 3 | 5 | 4 | 5 |
RunLLM is a cloud-native infrastructure platform designed to streamline the deployment, management, and scaling of open-source large language models (LLMs). The platform emphasizes easy orchestration of LLMs on modern hardware, allowing developers and enterprises to focus on delivering applications rather than managing complex machine learning infrastructure. | https://www.runllm.com | Private | “LLMs in production. Fast.” | San Francisco, CA | 2023 | Initialized Capital, Basis Set Ventures, etc. | Growth | RunLLM offers a platform that simplifies running open-source LLMs in production. It includes auto-scaling, GPU orchestration, inference APIs, and fine-tuning support for models such as LLaMA, Mistral, and Mixtral. The platform supports containerized workloads and integrates with Kubernetes, making it developer-friendly for scalable AI deployments. | Deploying open-source LLMs is complex and resource-intensive, often requiring deep expertise in infrastructure, DevOps, and model optimization. Startups and enterprises face friction when trying to scale or adapt LLMs for specific applications due to hardware limitations or lack of efficient orchestration tools | RunLLM provides a plug-and-play infrastructure solution for hosting and managing open-source LLMs. It abstracts away hardware management, offers performance-tuned runtimes, and includes a developer dashboard and APIs for inference, fine-tuning, and monitoring. | RunLLM allows teams to deploy production-grade LLMs in minutes, not weeks, while maintaining performance, reliability, and cost-efficiency. It bridges the gap between open-source flexibility and enterprise-grade infrastructure readiness. | RunLLM uses a usage-based pricing model tied to GPU hours and bandwidth. It offers tiered plans for startups and enterprises, along with dedicated infrastructure and support for high-throughput clients. Additional revenue comes from premium features like private model hosting, on-prem integration, and fine-tuning pipelines. | RunLLM leverages Kubernetes, Triton Inference Server, and custom runtimes for optimized LLM deployment. It supports NVIDIA A100/H100 instances, containerized workflows, and autoscaling with spot instance handling. It integrates with open-source models via Hugging Face and supports GGUF/ONNX formats for performance tuning. The platform includes observability tooling and can be deployed in VPCs for data-sensitive use cases. | RunLLM is an emerging leader in infrastructure for LLM-powered agents, offering a robust orchestration and observability layer that helps teams move from prototype to production seamlessly. Designed for AI engineers and platform teams, it simplifies routing, evaluation, and monitoring of LLM agents across both open-source and proprietary models. With built-in tools for versioning, analytics, and security, RunLLM enables enterprises to deploy intelligent agents at scale while maintaining control and visibility. Backed by Initialized Capital, Basis Set Ventures, and gaining traction across AI-native startups, RunLLM is positioning itself as the foundational layer for the next generation of agentic AI applications. | /content/drive/MyDrive/engin183profiles/AIML Profile/colnaz_5662511_91422101_run_llm.docx | AIML Profile | Announced around $10M annually | Approximately $1B market capitalization for the AR token | null | No amounts disclosed – just 5 VC investments are announced publicly | Estimated at 15-25% based on industry averages for ML/LLM infrastructure | Not applicable as a private company | 5 | 4 | 5 | 5 | -1 | 3 | 4 | 4 | -1 | 5 | 5 | -1 |
You.com is an AI-powered search engine designed to make finding information online faster, easier, and more personal. Launched in 2020, You.com stands out by giving users more control over their search experience, allowing them to customize results and focus on what matters most. With built-in AI tools for everything from summarizing content to writing code or creating images, You.com is more than just a search engine—it’s a productivity platform built to help people get things done.You.com exists to help people take back control of their online experience. It’s built to cut through the noise of endless search results, deliver relevant information quickly, and do it all without compromising privacy. Unlike traditional search engines, You.com doesn’t track your every move or bombard you with ads, so you can feel confident your data is safe. You.com’s mission is to create a smarter, more personalized, and privacy-friendly way for people to search and work online. The platform focuses on giving users the tools they need to save time and be more productive, whether it’s by tailoring search results to their preferences or using AI to assist with creative and professional tasks. The goal is simple, make it easier for people to find answers, create content, and get work done—all in one place.With its fresh approach, You.com is perfect for anyone who’s tired of the “one-size-fits-all” search engines and wants something that works for them. It’s built for students, professionals, and creatives who value their time, privacy, and productivity. | https://you.com | Private | Slogan / Motto | Palo Alto | 2020 | Alumni Ventures, DuckDuckGo, Elevation Capital | Generating Avenue | You.com offers a range of AI-powered tools and services designed to enhance productivity and improve the search experience. Its core offering is a customizable search engine that allows users to personalize their search results and access trusted information quickly. Additionally, You.com features integrated AI tools such as YouWrite for generating written content, YouCode for coding assistance, and YouImagine for creating AI-generated images. The platform also includes summarization tools, research capabilities, and other productivity-enhancing features to help users work smarter. All of these tools are built with a focus on privacy, ensuring users can work and search without invasive tracking or ads. | Traditional search engines are overloaded with ads, irrelevant results, and invasive data tracking, making it harder for users to find what they need quickly and privately. | You.com solves this by offering a personalized, ad-free, and AI-powered search experience that prioritizes user control, productivity, and privacy. | You.com gives users a faster, more personalized, and privacy-focused way to search, while also offering powerful AI tools to boost productivity, like writing help, coding support, and creative content generation—all in one easy-to-use platform. | You.com's business model is primarily centered around offering premium AI-powered tools and services through a freemium model. While the platform provides a free, ad-free search experience and basic access to its AI tools, it also offers paid subscriptions for advanced features and enhanced capabilities in tools like YouWrite, YouCode, and YouImagine. By combining a focus on user privacy with premium services, You.com monetizes through subscriptions rather than relying on invasive ads or data tracking, ensuring a user-first approach to generating revenue. | You.com leverages cutting-edge AI and machine learning technologies to power its customizable search engine and productivity tools. At its core, it integrates advanced natural language processing (NLP) models, like those similar to OpenAI's GPT, to enable features such as AI writing, summarization, and code generation. The tech stack likely includes a combination of backend frameworks for scalability, cloud computing for fast data processing, and APIs to support seamless integration of its tools. Additionally, You.com uses secure data architecture to prioritize user privacy, ensuring that no personal data is tracked or stored. This combination of AI, privacy-first design, and scalable infrastructure allows You.com to provide a fast, efficient, and personalized user experience. | You.com became successful because it reimagined the search engine experience by focusing on user customization, privacy, and AI integration. Unlike traditional search engines, You.com gave users the ability to personalize their search results by selecting preferred sources and apps, which provided them with more control over the information they received. This innovative approach catered to users who wanted a more tailored and productive online experience, setting You.com apart from larger, more rigid competitors like Google. Another key factor in You.com's success was its emphasis on privacy and ad-free searches. At a time when concerns about data privacy and invasive advertising were growing, You.com positioned itself as a privacy-conscious alternative, earning the trust of users who were tired of being tracked online. Additionally, the platform’s integration of AI-powered tools and apps allowed users to perform tasks like summarizing documents, coding, or even generating creative content directly within the search engine, making it not just a search tool but a productivity hub. By addressing modern user demands—customization, privacy, and productivity—You.com carved out a unique space in the search engine market. Its ability to adapt and innovate with AI-driven features while respecting user preferences and data privacy made it a standout success in the crowded tech landscape. | /content/drive/MyDrive/engin183profiles/AIML Profile/corrylarissa_5614369_91422999_Spring2025_BusinessProfileFormat_AI.docx | AIML Profile | null | null | null | $99.09M
Series B | null | null | 4 | 3 | 5 | 4 | 4 | 4 | 3 | 4 | 4 | 4 | 5 | 3 |
Verily Life Sciences, commonly known as Verily, is a subsidiary of Alphabet Inc. focused on life sciences and healthcare. Verily's mission is to make the world's health data useful so that people enjoy healthier lives. The company develops tools and devices to collect, organize, and activate health data, creating interventions to prevent and manage diseases. By combining expertise in data organization, analytics, and scientific research, Verily aims to improve healthcare outcomes through precision health solutions. | https://verily.com/ | Private | Get your healthcare data AI-ready | South San Francisco, California, United States | 2015 | Alphabet Inc., Silver Lake, Temasek, Ontario Teachers’ Pension Plan | Hypergrowth | Verily offers a suite of comprehensive tech-driven tools to improve healthcare, leveraging AI at the core of their products. These include Baseline for clinical research, Lightpath for chronic care, Sightline for outbreak tracking, Onduo for virtual care, and Healthy at Work for employee safety. Together, these AI-powered solutions make healthcare more efficient, personalized, and data-driven. | Healthcare information is often very unstructured and inefficient. 72% of hospitals struggle with patient data gaps and 26.9% of healthcare data inaccuracies costing millions and threatening care quality. | Verily develops suite of tools and platforms, with AI at it’s core product offering that automate the healthcare data collection process – reducing errors, and increasing operational efficiency. | Verily aims to leverage AI with the inefficiencies of the healthcare data collection system to improve operational efficiency and reduce inaccuracies in data collection. | B2B partnerships based model | Verily uses AI machine learning as their core product offerings to power a range of healthcare tools that organize and analyze clinical, behavioral, and biological data. Their main products include Baseline for clinical trials, Lightpath for chronic care, Sightline for outbreak tracking, Onduo for virtual care, and Healthy at Work for employee safety. They also support precision health and life sciences research. | Verily’s success is largely due to its strategic use of AI and data science to enhance healthcare, positioning it as a leader in digital health. Through innovative products like Baseline, Lightpath, Onduo, and Sightline, Verily addresses critical healthcare challenges such as clinical trials, chronic disease management, outbreak detection, and virtual health. These solutions streamline healthcare processes, making care more efficient, accurate, and personalized for patients, providers, and researchers.
A key factor in Verily's success is its strong partnership with Alphabet, which provides the company with advanced technology and resources that fuel its innovation. Additionally, Verily adheres to industry standards like FHIR and OMOP, ensuring its products are secure, scalable, and compatible with existing healthcare systems. This commitment to transforming healthcare into a more efficient and proactive system resonates with both healthcare professionals and consumers.
Verily’s ability to form strategic partnerships with life sciences organizations has further expanded its influence in the healthcare industry. By solving real-world healthcare challenges while prioritizing data security, Verily has established itself as a leading force in the digital health and AI sectors. | /content/drive/MyDrive/engin183profiles/AIML Profile/cortinadanica_5659051_91421712_Verily Ai.docx | AIML Profile | $748.2 million | null | N/A Verily is privately held | Total funding of approximately $2.5 billion, including a $1 billion investment round led by Silver Lake in 2019 | null | null | 4 | 3 | 2 | 3 | 3 | 3 | 3 | 4 | 3 | 4 | 5 | 5 |
Scale AI is a late stage startup building data-centric platforms for other companies to train AI models. It is founded by Alexandr Wang and Lucy Gao in 2016. They believe that by providing better data can essentially lead to the faster development of better AI models across different industries from robotics and autonomous vehicle to e-commerce and defense. Their core technology centers around data sourcing and data-labeling, helping organizations of all sizes to develop better AI. | https://scale.com/ | Series F | Power AI With Your Data | San Francisco, CA | 2016 | Founders Fund, Accel, Index, Coatue, Thrive, Spark, NVidia, Y Combinator | Hypergrowth | Scale AI’s products and services revolve around data, providing end to end data labeling and management service as well as high quality data for AI training purposes. They also provide the testbed for deploying and testing AI during development phase to accelerate the process. | Data is everywhere but they are messy and unorganized to be used efficiently. | Scale Data Engine collect, curate, and annotate data, converting raw data to high quality training data. | Scale AI handles the messy data and converts them to high quality training data for customer’s AI models. | B2B business model by working with client on specific project-based contracts and enterprise subscription to data labeling and software platform services. | Scale AI’s technology stacks combines automation software and human expertise to handle data at large scale. Its core technology includes its own machine learning models for data processing and labeling, as well as professional human labelers for verifying and correcting the results. It also has many proprietary dataset that business can subscribe to for training their AI models. | Scale AI is undeniably a unicorn in the AI field. It has strong financial supports receiving investments from both top VC firms as well as tech giants. It also has landed many key partnerships and customers across industries from enterprise to government. These customers and partnership adds to Scale AI’s tech stack by providing them with more datasets as well as experience handling these massive dataset, ultimately giving Scale AI an unbreakable mote around its core business. Scale AI also has a strong leadership team with Alexandr Wang, who is a MIT dropout and a math genius, leading the company.
Regardless the success of individuals, all AI companies need high quality data for the development of their models. Therefore, Scale AI’s value proposition is like selling the picks-and-shovels during the Gold Rush age. In conclusion, Scale AI has all factors of success: the right team, the right idea, and the right time. Going forward, it has a strong potential to IPO in the near future, acting as a cornerstone for the new AI economy. | /content/drive/MyDrive/engin183profiles/AIML Profile/daichen_5570840_91423316_AI_BusinessProfileFormat.docx | AIML Profile | 1.4 Billion in 2024 | 14 Billion post-money | null | null | null | null | 5 | 5 | 4 | 4 | 3 | 4 | 5 | 5 | 4 | 5 | 5 | 5 |
Windsurf, formerly Codeium, is a developer of a deep learning acceleration platform that is designed to help accelerate and simplify the use of complex AI workloads for their customers. The platform is able to support many different models on a multitude of frameworks, and supports computations such as video decoding and image processing remotely. | www.windsurf.com | Private | Built to keep you in flow state | Mountain View, CA | 2021 | Comcast NBCUniversal LIFT Labs, AIX Ventures, Base Case Capital, Founders Fund, etc. | Pivot | Windsurf offers a collection of AI powered IDEs, integrated development environments, that enhance developer productivity by providing real-time code assistance, error detection, and debugging tools. The platforms are meant to seamlessly integrate with various development workflows so as to allow developers to maintain focus and peak efficiency. | Developers face challenges in managing complex codebases, reducing their productivity as they deal with complex software. | AI powered IDEs that analyze code in real-time, allowing for error correction and suggestions. | Windsurf’s value proposition is that it serves as a real-time coding assistant that helps deal with the tedious parts of coding, allowing developers to focus on the bigger picture. | Subscription model | Windsurf leverages deep learning models and AI agents, such as Claude, in order to provide its real-time code assistance. Its technology stack includes support for multiple programming languages and integrates with existing development workflows. | Windsurf, was first founded as Exafunction in 2021 by co-founders Varun Mohan and Douglas Chen. The company was originally meant to be a GPU optimization company to be able to optimize deep learning workloads. In 2022, the pair recognized the rise of Transformer architectures and used their infrastructure expertise to pivot the company into AI-powered developer tools. With this pivot, the company was rebranded into Codeium before being renamed recently to Windsurf in order to share the namesake of their main product, the Windsurf editor.
The company’s growth trajectory has been remarkable as they have seen their valuation skyrocket to a potential $3 billion value as of February 2025, and still plenty of room to grow. Windsurf’s innovative products hold the keys to allow all developers in general to massively increase their coding output, allowing efficiency throughout the world to rise. Windsurf’s ability to pivot, creating a strong product, inspire investor confidence, and grow has made its success almost guaranteed, and makes it a company to keep an eye out for future impact in the tech space. | /content/drive/MyDrive/engin183profiles/AIML Profile/diazgilberto_5577542_91424390_Spring2025_BusinessProfileFormat_Codeium.docx | AIML Profile | 2023 - $1 Million
2024 - $12 Million | Valuation - $1.25 Billion | null | 2 Rounds - $243 Million Raised | null | null | 4 | 3 | 4 | 3 | 2 | 3 | 5 | 5 | 4 | 5 | 5 | 5 |
Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Founded in 2019 by Edo Liberty, the company focuses on enabling developers to build scalable, high-performance AI applications by offering a fully managed, cloud-native vector database. Pinecone was created to provide the critical storage and retrieval infrastructure needed for building and running state-of-the-art AI applications. The founding principle was to make the solution accessible to engineering teams of all sizes and levels of AI expertise, which led to the fully managed service and ease of use that Pinecone is known for today. | https://www.pinecone.io | Private | Make AI Knowledgeable | New York City, NY, USA | 2019 | Andreessen Horowitz, ICONIQ Growth, Menlo Ventures, Wing Venture Capital | Hypergrowth | Pinecone offers a fully managed vector database platform that simplifies the development of AI applications. Its key offerings include :
Vector Database: Enables fast and accurate similarity searches across high-dimensional vector data.
Semantic Search: Powers advanced search capabilities for text, images, and other data types.
Retrieval-Augmented Generation (RAG): Supports generative AI by providing relevant context to large language models (LLMs). | Traditional databases struggle with managing high-dimensional vector data critical for modern AI applications. | Pinecone provides a scalable, low-latency vector database designed specifically for storing and querying vector embeddings used in AI models. | By offering a fully managed service with intuitive APIs, Pinecone empowers developers to build cutting-edge AI solutions without worrying about infrastructure complexities | subscription-based model with tiered pricing plans. Pinecone achieved $26.6M in revenue in 2024 with over 4,000 paying customers. | Pinecone leverages advanced indexing algorithms and cloud-native architecture to deliver high-speed similarity searches across billions of vectors. Its tech stack includes Python, Kubernetes, gRPC, and integration capabilities with ML frameworks like Hugging Face and OpenAI. The platform also supports hybrid search combining semantic and keyword-based queries. | Pinecone’s success lies in its ability to address a critical gap in AI infrastructure by offering an easy-to-use yet powerful vector database solution. Its focus on scalability, developer experience, and integration with modern ML workflows has positioned it as a leader in the emerging vector database market. Backed by strong leadership and significant venture capital funding, Pinecone is well-poised to drive innovation in AI-powered applications globally. | /content/drive/MyDrive/engin183profiles/AIML Profile/dingclaire_5613344_91423977_Pinecone profile.docx | AIML Profile | $26.6M | Valuation of $750M | null | $138M total funding; latest Series B ($100M) in 2023 | null | null | 5 | 5 | 4 | 4 | 3 | 5 | 4 | 5 | 4 | 5 | 5 | 5 |
Cursor AI is a tech startup founded in 2021 that AI to transform software development processes. Based in San Francisco, California, Cursor AI specializes in creating powerful AI-driven coding assistants designed to increase developer productivity, minimize coding errors, and streamline software creation. Its primary mission is to enhance developers' capabilities and speed up development timelines by seamlessly integrating intelligent code generation and editing into existing workflows. | https://cursor.sh | Private | “Your AI pair programmer” | San Francisco, California, USA | 2021 | Sequoia Capital, Andreessen Horowitz | Hypergrowth | Cursor AI offers an advanced AI-powered pair programming tool that integrates directly into popular coding environments. Its platform suggests code snippets, completes functions, identifies bugs, and provides many intelligent recommendations to improve overall coding efficiency and accuracy. | Developers frequently encounter repetitive tasks, productivity bottlenecks, and human error in coding. | An AI-based pair programming assistant that automates coding tasks, reduces errors, and accelerates software development. | Cursor AI basically boosts productivity, reduces development time, and enhances coding accuracy through automated systems. | Cursor has a Subscription based model, offering tiered monthly or annual plans based on user and enterprise needs. | Cursor AI uses sophisticated machine learning models, specifically Large Language Models (LLMs), and deep learning algorithms, seamlessly integrating with IDEs and developer tools like VS Code, GitHub, and others. | Cursor AI solves a very critical need in software development by automating tedious coding tasks and significantly improving developer productivity through intelligent AI solutions. With a focused approach to AI-driven pair programming, strategic funding, and robust integration capabilities, Cursor AI puts itself as an essential tool in modern development workflows. Its precise timing, clear value proposition, and strong leadership make Cursor AI uniquely placed for sustained growth and industry impact in the AI and software development fields. | /content/drive/MyDrive/engin183profiles/AIML Profile/ganesharvind_5717886_91425670_AG_Spring2025_BusinessProfileFormat_CursorAI3.docx | AIML Profile | null | null | null | Approx. $10 million, Seed funding | null | null | 5 | 5 | 4 | 5 | 4 | 4 | 4 | 5 | 4 | 5 | 4 | 4 |
Databricks, founded in 2013, is a data and AI company that provides a cloud-based Data Intelligence Platform that unifies data engineering, data science, and machine learning. The platform’s underlying architecture is based on a Lakehouse architecture that combines data warehouses’ reliability and performance with the scalability and flexibility of data lakes. The company aims to simplify the process of building, deploying, and managing data and AI. Its mission is to “simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” | https://www.databricks.com/ | Private | “Your data. Your AI. Your future.” | San Francisco, California | 2013 | Primary Investors: Andreessen Horowitz, Thrive Capital, DST Global, T. Rowe Price, Capital One, NVIDIA | Hypergrowth | Databricks provides a cloud-based platform that helps companies work with large amounts of data and build AI tools. Its main product is the Data Intelligence Platform which brings together tools for data processing, analysis, and machine learning into one single platform. Its key features include tools to clean and organize data, and shared notebooks to write and run code together. Databricks also offers Delta Lake which helps keep data organized and reliable, and MLflow which helps teams track and manage their machine learning projects. | Companies struggle with scattered data systems that make it hard to manage, analyze, and use data effectively for AI and decision-making. | Provides companies with a way to manage and analyze all their data in one place to build better AI and make smarter decisions. | Unified platform for data, analytics, and AI. | Subscription model that charges customers based on usage per hour measured in DBU (Databricks Unit). Prices start at $0.15/DBU for Data Engineering, $0.22/DBU for Data Warehousing, $0.40/DBU for Interactive Workloads, and $0.07/DBU for Generative AI. | Cloud-native tech stack centered around its Lakehouse architecture. The platform is built on Apache Spark which enables fast distributed data processing, and incorporates Delta Lake for reliable (Atomicity, Consistency, Isolation, Durability) ACID-compliant data management. For machine learning and AI, it uses MLflow for model tracking and lifecycle management and Mosaic AI for generative AI development and deployment. | Databricks is a success. It made working with data much easier for companies at a time when data was becoming more important than ever. Before Databricks, businesses had to use many separate tools for storing, processing, analyzing, and using their data for machine learning. This was slow, expensive and complicated. Databricks solved this problem by creating a platform where teams could do all of this in one place. Furthermore, the company was able to raise billions in funding, hire experienced leadership, and consistently improve its product to meet real customer needs. Its timing was also key: it grew just as businesses began investing heavily in AI and big data. By focusing on accessibility, Databricks was able to build a thriving product. | /content/drive/MyDrive/engin183profiles/AIML Profile/gutierrezeduardo_5613693_91337164_Business Profile_ AI.docx | AIML Profile | $3 billion (2025) | null | null | $62 billion | null | null | 5 | 5 | 5 | 4 | 4 | 4 | 5 | 5 | 4 | 5 | 5 | 5 |
Founded in 2015 by Guillermo Rauch, Vercel is a platform providing front-end developers with cloud infrastructure and technical tools to build personalized websites. These websites can be developed on local computers and later deployed for global use. The company is known for creating Next.js, a popular React framework used in web development, and their primary mission is to ensure developers and organizations can create user-friendly web applications efficiently. This is accomplished through a collaborative and easy-to-use environment that focuses on user experience by simplifying the deployment process. Users can begin developing applications with pre-built templates without the need for configurations, easing the process for those without strong technical backgrounds. Vercel is also easily integrated with common frameworks, can deploy automatically from git, and provides an automatic HTTPS for all domains, making it a popular and efficient choice for developers to deploy applications within seconds. | https://vercel.com/home | Private | Your complete platform for the web. | Covina, CA | 2015 | Salesforce Ventures, Angels of Many, Base Case Capital, etc. | Generating Revenue | Vercel primarily offers coding and deployment tools for developers and individuals to efficiently launch personalized web applications in a timely manner. The platform is easy to use and does not require previous technical experience and allows for collaboration features. Users can easily code their applications using the site’s frameworks or from git repositories. The company offers 3 tiered plans that come with various features ranging from web application firewalls, WAF protection, and guest/team controls. On different plans, users also have the options of previewing their sites and analytical insights. | The efficient development of personalized web applications without a complicated and deeply technical deployment process. | A platform with cloud infrastructure, technical tools, Next.js framework, and pre-built templates for users to instantly deploy web applications. | Vercel is an accessible platform for both technical and non-technical people to easily launch web applications for personal or business use. | Vercel runs on freemium subscriptions where users can choose from three different plans. The first is the Hobby plan which is free, allowing users to begin deploying projects. The second play is the Pro, which for $20 a month includes the services of the Hobby plan and more infrastructure use and observability tools. The third is the Enterprise model which provides guest and team access controls along with advanced support. | Vercel supports 25 different frameworks for developers to use when coding their web applications. Deployments can be done through Vercel’s Command Line Interface (CLI) or directly from a user’s Git repository, and when deployment is requested, the API request “POST,” is used to upload project file to a global data storage device. Vercel leverages technology like serverless functions, powered by AWS to handle API routes, edge functions for middleware and runtime, and features like image optimization and static output. | Vercel has been successful in the web development space for numerous factors, one of which is their lack of competitors. Currently, there is no other platform providing the same tools and solutions at an efficient rate as Vercel. Vercel is the first company of its kind to provide users with an easy-to-use interface for web development and deployment. Additionally, Vercel’s team is extremely strong with many leaders having attended top universities and pursued higher education such as MBAs. A lot of leaders also have experience working for F500 companies, holding c-suite roles, or have startup experience. Vercel’s freemium business model is also very strong, allowing for user adoption and overall growth. Their free Hobby plan allows users to freely develop and deploy web applications without a lot of restriction, while their paid plans appeal to those looking for more advanced features like team analytics. Within each tier plan integration with existing frameworks is extremely accessible, whether it is working with the Next.js platform or Git. | /content/drive/MyDrive/engin183profiles/AIML Profile/hassanyara_5727837_91422467_AI_Spring2025_BusinessProfileFormat.docx | AIML Profile | $172M | N/A | N/A | $250M Series E | null | null | 5 | 4 | 4 | 3 | 3 | 3 | 3 | 5 | 4 | 5 | 5 | 5 |
Metaphysic.ai is a generative AI company specializing in hyperreal synthetic media. Their mission is to build ethical and empowering tools that give individuals control over their digital identity in an age of AI-generated content. Metaphysic develops advanced AI models to create lifelike avatars, voice clones, and deepfake video with applications in film, entertainment, and personal digital presence. With a strong focus on ethics, their purpose is to revolutionize how people interact with and represent themselves online, while maintaining transparency, consent and safety. Metaphysic is shaping the future of synthetic media with their focus on creative innovation. | https://metaphysic.ai/ | Private | Create impossible | London, UK | 2021 | Logan Paul, Ryan Faber, 8VC, David Carrrico, S32 | Growth | Metaphysic offers advanced generative AI tools that enable the creation of hyperreal synthetic media, including photorealistic avatars, AI-generated faces and voice synthesis. Their core product, Metaphysic Pro, is a subscription-based platform that allows creators, studios and brands to generate and manage deepfake-quality content with ethical oversight. Metaphysic also provides enterprise solutions for film and entertainment companies, offering real-time AI face-swapping and performance enhancement tools used in blockbuster productions. Their services focus on enabling high-quality digital likeness replication while prioritizing user consent, identity protection and creative control. | Creating realistic synthetic media has traditionally been complex, expensive, and ethically questionable, with limited tools for creator control and consent. | Metaphysic provides accessible, high-quality generative AI tools that allow users to create photorealistic content while embedding ethical safeguards like identity consent. | Metaphysic empowers creators and studios with tools to produce hyperreal synthetic media safely, ethically, and efficiently - redefining digital storytelling. | Metaphysic operates on a B2B and B2C model, offering its generative AI tools through licensing, custom solutions and partnerships with major film studios and content creators. While exact pricing is not public, their revenue is primarily generated via enterprise deals and white-labeled services for production companies. They also monetize their AI platform through scalable deployment of custom synthetic media tools. | Metaphysic uses advanced generative AI techniques like deep learning, GANs (Generative Adversarial Networks), and neural rendering to create hyperrealistic digital avatars and video content. Their tech stack combines proprietary machine learning models with cloud-based infrastructure for scalable performance. Tools are trained on ethically sourced data, and the system integrates real-time face mapping and voice synthesis, supporting secure and customizable content production. | Metaphysic.ai has quickly become a leader in the world of synthetic media by leveraging advanced AI to produce hyperreal digital content. Its success lies in the ability to combine innovative technology with a clear ethical stance on deepfakes and digital identity. With high-profile partnerships in entertainment and a growing demand for virtual avatars and digital twins, the company positioned itself at the forefront of a rapidly evolving market. The acquisition by Brahma for $1.4 billion further reflects strong investor confidence in Metaphysic's potential to lead the next wave of generative media, where realism, trust and creativity intersect. | /content/drive/MyDrive/engin183profiles/AIML Profile/hatakkajulie_5794665_91424518_H10 - Metaphysic.docx | AIML Profile | Estimated revenues: $17.5 M | N/A, acquired by Brahma for $1.4B | null | $25.4 M | null | null | 5 | 4 | 5 | 4 | 4 | 4 | 4 | 4 | 3 | 5 | 5 | 5 |
Innodata is a global data engineering company founded in 1988 and has evolved into a leading provider of AI data solutions, specializing in training data preparation, model development, and generative AI strategy. Innodata serves enterprises, technology firms, and governments by transforming unstructured data into structured, AI ready formats. The company’s mission is to make AI work for the real world by delivering high quality training data, advanced AI tools, and strategic guidance for generative AI adoption. With a focus on innovation and ethical AI, Innodata stands at the intersection of data science, content engineering, and machine learning. | https://innodata.com/ | Public company | Making AI Work | Hackensack, NJ | 1988 | Blackrock, The Vanguard Group, Luzich Partners | Growth | Innodata offers AI driven products and services that support enterprises in developing, deploying, and managing both traditional and generative AI models. Their offerings include high quality data annotation across text, image, audio, and video formats, a generative AI test and evaluation platform to ensure model safety and reliability, and services for fine tuning large language models with domain specific expertise. Innodata also provides AI consulting, managed services for workflow automation, and industry specific platforms like Agility PR Solutions for media monitoring and Synodex for healthcare data processing. These solutions help clients accelerate their AI adoption and improve operational efficiency across sectors. | Most enterprises struggle to implement AI due to lack of high quality training data, domain expertise, and scalable infrastructure. | Innodata delivers structured, annotated, and contextually rich data to power AI models at scale, while offering consulting and technical services to support successful AI adoption. | Innodata helps organizations deploy trustworthy and high-performing AI solutions by providing top-tier data infrastructure and generative AI expertise. | Innodata operates on a B2B service-based and subscription model. Clients pay for data as a service, platform licenses, and consulting services. Their key sectors include finance, insurance, publishing, and tech. | Innodata leverages proprietary AI tools, including its “Agility” platform for managing large scale data workflows. It utilizes natural language processing, computer vision, and generative AI models. | Innodata is a fast growing AI and data engineering company that has successfully evolved from its roots in content transformation to become a strategic partner for enterprises adopting artificial intelligence. The company provides end to end AI solutions, including high quality data annotation, generative AI fine tuning, and model evaluation through its proprietary Agility platform. By solving the critical challenge of sourcing and preparing domain specific training data, Innodata allow businesses across finance, healthcare, media, and technology to deploy accurate and scalable AI systems. With revenue nearly doubling in 2024 and its workforce expanding to over 5,000 employees, Innodata is well positioned as the AI ecosystem continues to grow. | /content/drive/MyDrive/engin183profiles/AIML Profile/jiangkevin_5665005_91409806_Spring 2025 Business Profile AI.docx | AIML Profile | 2024 - $170.5 million | $ 938.05 million | NASDAQ: INOD $29.97 | null | 10.95% | P/E ratio is 39.32 | 4 | 3 | 4 | 4 | 3 | 4 | 5 | 4 | 3 | 5 | 4 | 4 |
Braintrust serves as a complete platform which simplifies the creation of strong AI applications particularly those built with LLMs. Braintrust launched its operations in 2023 from its San Francisco California base to enable teams to create LLM-enabled applications with confidence through solutions for non-deterministic models and unpredictable natural language inputs. Through its platform Braintrust enables product engineers to work with designers and product managers in continuous experimentation which helps them refine their AI implementations effectively. | https://www.braintrust.dev/ | Private | N/A | San Francisco, California, USA | 2023 | Andreessen Horowitz, Greylock, Elad Gil, Basecase Capital, SV Angel, etc | Growth | Braintrust delivers a complete platform which supports AI application development. The platform offers four main features which enable prompt and model evaluation alongside execution trace visualization and AI interaction monitoring and online assessment capabilities. Users can develop custom scorers and callable tools through the supported function types of TypeScript and Python. Braintrust enables organizations to choose self-hosting which gives them total control over their data and compliance needs. | Developing reliable LLM applications is challenging due to the non-deterministic nature of models and the unpredictability of natural language inputs. | Braintrust delivers an iterative workflow system which helps teams improve prompts and models through evaluation to build strong AI applications. | The integration of Braintrust into development life cycles allows organizations to improve AI product reliability and performance which results in more dependable AI-driven solutions. | Braintrust provides subscription-based pricing with different plans that match the requirements of all types of organizations. Under the "Free" plan users receive 1 GB of processed data with 10,000 scores while data retention spans 14 days and the service supports up to 5 users. The "Pro" subscription plan costs $249 monthly and provides users with 5 GB of processed data and 50,000 scores together with one month of data retention and support for 5 users along with additional usage costed separately. The "Enterprise" plan serves organizations that need premium assistance while allowing customization of their deployment. | The machine learning capabilities of Braintrust enable AI application development through its advanced techniques. Braintrust enables development using TypeScript and Python functions which let users build their own scorers and tools. Braintrust provides users access to real-time execution trace visualization and AI interaction monitoring and online evaluation features. Users can deploy Braintrust either locally or through hosting services to fulfill different data control and compliance needs. | The AI software engineering field has quickly recognized Braintrust as its essential player through its solutions for developing applications which use LLMs. Through its platform Braintrust enables multiple teams to work together continuously while experimenting which results in creating durable AI applications. Braintrust has earned the confidence of three major clients through its approach which includes Notion, Stripe and Zapier. Braintrust secured $36 million through a Series A funding round backed by Andreessen Horowitz which elevated its total funding to $45 million. The financial support enables the company to advance its mission which centers on helping teams construct LLM-enabled applications confidently. Braintrust demonstrates its dedication to data security and compliance standards through SOC 2 Type II compliance which makes the platform more attractive to enterprise clients that need robust security measures. | /content/drive/MyDrive/engin183profiles/AIML Profile/jicharliechengjie_LATE_5612424_91442635_AIML company profile - Braintrust.docx | AIML Profile | null | null | null | Series A (36M) | null | null | 4 | 4 | 4 | 4 | 3 | 4 | 4 | 4 | 4 | 5 | 4 | 4 |
Shield AI is a company that is focused on defense technology. It is focused on developing AI pilots and autonomous aircrafts to aid the military. It was co-founded by former a Navy SEAL Brandon Tseng, along with Ryan Tseng and Andrew Reiter. Their main product is software called Hivemind, and it is focused on operating and helping to make decisions without the need for GPS or humans. In addition to developing AI pilots, Shield also sells Hivemind to other aircraft manufacturers. Their main goal is to transform the military space. | www.shield.ai | Private | Protecting service members and civilians with intelligent systems | San Diego, California, USA | 2015 | Andreessen Horowitz, U.S. Innovative Technology Fund, Riot Ventures, L3Harris, Hanwha Asset Management and more | Growth | Shield AI's main product is the Hivemind platform, which lets aircraft operate without needing GPS or communication signals. They also offer the V-BAT, a drone that can take off and land vertically and is used for intelligence and surveillance missions. Another product, Hivemind Enterprise, is a platform that helps companies and manufacturers build their own autonomous systems using AI. | Traditional military requires GPS which can be jammed and compromise mission safety. | Shield AI's Hivemind enables autonomous operation of military assets without dependence on GPS or human communication. | By using AI pilots, Shield AI reduces need for GPS and communications and increases mission success rates. | Shield AI operates on a B2G (business-to-government) model, providing AI-powered autonomous systems and software to defense departments and governments. Revenue is made from product sales, software licensing, and ongoing support services. | Shield AI's core technology is Hivemind, an AI pilot that enables aircraft to operate autonomously without GPS or communications. Hivemind allows integration across various platforms, from drones like the V-BAT to modified fighter jets such as the F-16. The technology stack uses advanced machine learning algorithms, real-time data processing to allow for success in all environments. | Shield AI’s success comes from its focus on developing autonomous systems for defense, particularly in aircrafts that operate without GPS or communication. Products like the Hivemind platform and V-BAT drone have made it a trusted partner for defense agencies. The company’s innovation, strong leadership, and strategic partnerships have helped it grow and stay competitive. By solving complex problems with real-world applications, Shield AI is a leader in autonomous defense technology. | /content/drive/MyDrive/engin183profiles/AIML Profile/karivedasrihitha_5616975_91412486_Spring2025_BusinessProfileFormat (2).docx | AIML Profile | Shield AI's revenue in 2024 was estimated at $267 million. | null | null | $240 million in Series F-1 funding as of March 2025, valuing the company at $5.3 billion. | Shield AI's margin profile typically ranges between 40-50%. | null | 5 | 5 | 4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
KoBold Metals is a pioneering company in the mining industry, leveraging artificial intelligence, machine learning, and data science to accelerate mineral exploration, particularly for critical metals like cobalt, nickel, lithium, and copper. The company aims to revolutionize the mining sector through innovative technologies and sustainable practices. | https://www.koboldmetals.com/ | Private | Finding the materials of the future with AI and HI. | Berkeley, California, USA | 2018 | Bill Gates, Jeff Bezos, Durable Capital Partners, T. Rowe Price, Andreessen Horowitz, Breakthrough Energy Ventures, and others. | Growth | KoBold Metals offers advanced mineral exploration services using AI-driven technologies. The company's primary focus is on discovering and developing deposits of critical minerals such as cobalt, nickel, lithium, and copper, which are essential for clean energy technologies like electric vehicle batteries and renewable energy systems. Key services include AI-driven exploration, data aggregation and analysis, and sustainable mining practices. By leveraging these technologies, KoBold Metals provides valuable insights and discoveries to companies in the clean energy sector. | Addresses the inefficiencies and environmental challenges in traditional mineral exploration by leveraging AI and machine learning to identify critical mineral deposits more accurately and sustainably. | AI-driven exploration services that enhance the efficiency and sustainability of mineral discovery, providing valuable insights and discoveries to companies in the clean energy sector. | Ability to accelerate the discovery of critical minerals essential for clean energy technologies, while reducing environmental impact and improving exploration efficiency through innovative technologies. | Revenue channels:
Equity-Based Collaborations: Ownership stakes in mineral resources discovered through its AI-driven exploration services. It partners with large mining companies to explore and develop these resources, sharing in the revenue generated from successful mining operations.
Technology Licensing: The company licenses its proprietary platforms, such as TerraShed and Machine Prospector, to mining companies.
Consulting Services: KoBold offers consulting services to assist mining companies in optimizing their exploration strategies and managing projects more effectively.
Data Analysis Services: The company provides data analysis services, offering valuable insights to help mining companies make informed decisions about their operations.
Metrics:
Estimated Annual Revenue: $31.5 million.
Valuation: Approximately $2.96 billion | KoBold Metals’ tech stack includes proprietary AI and machine learning platforms such as TerraShed and Machine Prospector. These tools analyze vast geological datasets to identify potential mineral deposits more efficiently and accurately than traditional methods. By integrating AI-driven insights with advanced sensing technologies, KoBold Metals enhances the speed and sustainability of mineral exploration, enabling it to discover critical minerals like cobalt, nickel, and lithium essential for clean energy technologies. This innovative approach allows the company to reduce environmental impact while improving exploration efficiency. | KoBold Metals has achieved success primarily due to its innovative approach to mineral exploration, leveraging AI and machine learning to enhance efficiency and sustainability. The company's strong leadership, comprised of experienced founders, has been instrumental in driving strategic partnerships and securing significant funding from prominent investors. KoBold Metals' unique value proposition, which focuses on providing valuable insights for mineral exploration, aligns well with the growing demand for critical minerals and sustainable mining practices. By entering the market at a time when these trends were gaining momentum, KoBold Metals capitalized on favorable economic and regulatory conditions. Additionally, its effective business model, which combines cutting-edge technology with collaborative partnerships, has positioned the company as a leader in the mining industry. Overall, KoBold Metals' success stems from its ability to innovate, adapt, and meet the evolving needs of the mining sector while maintaining a strong focus on sustainability. | /content/drive/MyDrive/engin183profiles/AIML Profile/kimgeoffrey_5627721_91415542_Spring2025_BusinessProfileFormat (KoBold Metals).docx | AIML Profile | $31.5 million | $3 billion | null | Over $1 billion, with a recent Series C funding round of $537 million. | null | null | 5 | 5 | 5 | 5 | 4 | 4 | 4 | 5 | 4 | 5 | 5 | 5 |
Luma AI is an innovative company specializing in artificial intelligence solutions for 3D creation. Its core offerings, like the Luma app and Genie model, leverage generative AI to redefine how 3D content is produced and experienced. The app enables realistic 3D captures using smartphones, while Genie generates interactive 3D models from simple text prompts. Luma AI has raised significant funding, notably $43 million in a Series B funding round, to accelerate its technology development and broaden its accessibility. The company is experiencing rapid adoption, democratizing 3D creation for creators, developers, and enthusiasts worldwide. | www.lumalabs.ai | Private | Lifelike 3D capture and creation for everyone | Palo Alto, CA, USA | 2021 | Venture Capital-Backed | Generating Revenue | Luma AI provides pioneering AI-powered services centered on 3D content creation and capture. Key products feature the Luma App, enabling the effortless creation of photorealistic 3D scans from reality using just a smartphone, and Genie, a generative model that materializes interactive 3D assets from textual descriptions. The Luma App transforms real-world objects and environments into high-fidelity digital models, making complex scanning simple. Genie, conversely, empowers users to visualize and generate 3D concepts merely by describing them. These tools drastically simplify access to high-fidelity 3D production for a broad audience. Additionally, Luma offers an API, allowing developers to integrate its advanced 3D generation and capture technologies into their own platforms and workflows. The company's services are designed to democratize sophisticated 3D creation, empowering users across creative, technical, and entertainment fields. | Creating high-quality 3D assets and realistic digital twins is often complex, time-consuming, and requires specialized equipment and expertise. | Luma AI offers a platform and tools leveraging advanced AI to easily capture real-world objects and scenes with just a phone, transforming them into photorealistic 3D models and immersive experiences. | Luma AI democratizes the creation of stunning 3D content, making it faster, more accessible, and cost-effective for creators, businesses, and individuals. It empowers users to generate high-fidelity digital assets without the need for complex setups or extensive technical skills. | Subscription-based model with tiered plans based on usage volume, features (e.g., number of captures, processing speed, access to advanced editing tools), and potential for enterprise-level agreements. There could also be per-use pricing for specific high-demand features or API access for integrations. | The tech stack likely includes advanced computer vision algorithms and machine learning models for 3D reconstruction and photogrammetry, potentially leveraging proprietary AI models. This is integrated with a scalable cloud infrastructure for processing large datasets and delivering 3D assets. The platform emphasizes user-friendly interfaces built with modern web and mobile development frameworks, allowing for easy capture and access on standard devices. Focus is placed on data security and privacy for user-generated content. | Luma AI has emerged as a pioneer in the creative technology sector with its groundbreaking AI for 3D capture and generation, designed to revolutionize the way creators and businesses produce and experience digital content. By harnessing the power of advanced artificial intelligence, particularly Neural Radiance Fields (NeRFs), Luma AI offers a seamless solution for capturing and generating photorealistic 3D scenes and objects from images and videos. This technology significantly reduces the time and effort traditionally spent on complex 3D modeling and creation.
The company's innovative approach addresses a critical need in the content creation industry, where creators and businesses often face limitations in producing high-quality 3D assets efficiently. Luma AI's technology not only streamlines workflows but also enables the creation of incredibly realistic and immersive 3D experiences, allowing professionals to focus on creativity and innovation. This shift has the potential to enhance user engagement and open new possibilities for virtual environments, gaming, and product visualization.
Luma AI's success is underpinned by its commitment to providing user-friendly and accessible tools, making advanced 3D capture and generation available to a wider audience. The intuitive design of platforms like Dream Machine and the ease of integration through their API have quickly made Luma AI a favored choice among creators, further solidifying its position in the rapidly growing metaverse and digital content landscape. Led by a team of experienced entrepreneurs, engineers, and AI researchers, Luma AI continues to push the boundaries of AI-driven 3D technology. The company's strategic focus on continuous innovation and community-driven development has enabled it to stay ahead in the rapidly evolving field of virtual content creation. With a clear value proposition and a groundbreaking technological foundation, Luma AI is well-positioned to lead the transformation of digital experiences, making them more realistic, immersive, and accessible. As Luma AI continues to grow and expand its offerings, it remains dedicated to empowering creators and businesses with the tools to build the next generation of immersive digital experiences, ultimately contributing to a more vibrant and engaging digital world. | /content/drive/MyDrive/engin183profiles/AIML Profile/kostlouis_5786705_91414682_LUMAAI_BusinessProfileFormat_Louis.KOST.docx | AIML Profile | null | null | null | 68,5M | null | null | 5 | 5 | 5 | 4 | 4 | 4 | 3 | 5 | 3 | 5 | 5 | 5 |
Hugging Face is a leading open-source platform for machine learning (ML) and artificial intelligence (AI), well known for its community-driven approach to sharing and building models, datasets, and applications. Founded in 2016 in New York City, Hugging Face began as a chatbot company but has since transformed into one of the most influential companies in the ML ecosystem, enabling developers and researchers to collaborate on cutting-edge AI tools. | huggingface.co | Private | "The AI community building the future." | New York City, USA | 2016 | Google, Amazon, Nvidia, Intel, AMD, Salesforce Ventures | Growth | Hugging Face offers a suite of tools that simplify ML development:
Transformers Library: Open-source models for NLP, computer vision, and audio tasks.
Datasets Library: Streamlined access to thousands of curated ML datasets.
Spaces: A platform to host and demo ML apps using Gradio and Streamlit.
Gradio: A no-code tool to create ML demo interfaces.
Hugging Face Hub: A collaborative repository with 900k+ models, 200k datasets, and thousands of apps. | Building and deploying ML models typically requires complex infrastructure, large datasets, high computing resources, and strong expertise and all of which can cause issues while working on any model. | Hugging Face offers accessible, ready to use models, datasets, and APIs, reducing barriers to ML adoption and promoting open collaboration. It simplifies development and access to AI, it helps teams go from research to production faster. | Hugging Face is the go to ecosystem for developers, researchers, and companies who want to collaborate, build, and deploy unique ML models and tools openly and efficiently. | Hugging Face uses a freemium and enterprise SaaS model:
Pro Accounts: Subscription-based access to premium features.
Enterprise Services: API integrations, private hosting, and support.
Inference Endpoints: Pay per use access to compute resources for running models.
Custom Partnerships: With large enterprises for scalable ML infrastructure. | Hugging Face supports major deep learning frameworks (PyTorch, TensorFlow, JAX). Its platform enables:
Hosting and version control of models.
Integration with cloud services.
Real time inference and sharing with Gradio, Spaces, and Transformers APIs.
Scaling with Hugging Face Accelerate and Optimum libraries for performance optimization. | Hugging Face has successfully become the open-source standard for machine learning collaboration. From researchers to enterprises, it empowers users to access and scale AI through community driven tools and powerful infrastructure. Its strong leadership, consistent funding, community first approach, and rapid product expansion have made it a central force in the AI space. With strategic partnerships and a clear commitment to openness, Hugging Face is not only growing fast but also shaping the future of how AI is built and shared. | /content/drive/MyDrive/engin183profiles/AIML Profile/kulkarnidaksh_5794933_91426155_Hugging face business model.docx | AIML Profile | null | Valued at $4.5 billion (2023) | Not publicly disclosed | $400M+ (Series D: $235M in August 2023) | Not applicable (private) | Not publicly disclosed | 4 | 4 | 4 | 4 | 3 | 4 | 4 | 4 | 4 | 5 | 4 | 4 |
Creator of AI-powered music composition software designed to make music creation accessible to all. The platform provides a variety of genres and templates, allowing users to produce high-quality tracks for monetization and global commercial use, empowering artist, producers, and content creators. | https://soundful.com | Private | The future of music is now. Empowering Everyone to Make Music and Content. | San Diego, CA | 2019 | Accenture, Beatport, Microsoft, SQUEAK E. CLEAN STUDIOS LLC, Thomas Staggs, Universal Music Group | Generating Revenue | Soundful offers AI-powered music generation and sound customization services, allowing users to create high-quality, royalty-free soundscapes for various applications. Key offerings include an AI music composition platform, an adaptive sound API for businesses, and a library of customizable tracks. Soundful also partners with brands for bespoke audio branding solutions. | Music production is time-consuming, costly, and requires expertise. | Soundful’s AI-driven platform generates original, high-quality music and soundscapes instantly, making professional audio creation accessible to all. | Empowering creators and businesses with affordable, intuitive, and fully customizable sound solutions, eliminating licensing hassles and production barriers. | Soundful operates on a subscription-based model, offering individual, business, and enterprise-tier plans. Additional revenue streams include API licensing, custom sound branding services, and advertising partnerships. | Soundful's AI-driven sound engine leverages deep learning, neural networks, and natural language processing to generate and enhance music. | Soundful has emerged as a leader in AI-powered music generation by offering innovative, user-friendly solutions that cater to a wide range of industries. The company’s technology simplifies music creation while maintaining high-quality sound design, making it accessible to businesses, content creators, and hobbyists alike. Its subscription-based model and API integrations provide a scalable revenue stream, ensuring long-term sustainability and success in the AI music industry. | /content/drive/MyDrive/engin183profiles/AIML Profile/kupkaamalie_5794043_91387724_ENGIN283 - Business Profile - Soundful.docx | AIML Profile | Estimated: $1.5M | null | null | $3.8M 1 round | null | null | 5 | 4 | 4 | 3 | 4 | 3 | 4 | 5 | 3 | 5 | 5 | 4 |
Anthropic is an AI safety and research company that builds general AI systems with a strong emphasis on alignment, ethics, and responsible deployment. The company is founded by former OpenAI researchers. Anthropic is best known for its LLMs, like Claude. The company’s aims to build AI to be interpretable, steerable, and beneficial, while also ensuring that future AI systems align with “human intentions and values.” | https://www.anthropic.com | Private | "AI research and products that put safety first." | San Francisco, California, USA | 2021 | Google, Spark Capital, Sam Bankman-Fried (early funding), Menlo Ventures | Growth | Anthropic’s core product is Claude. Which is an LLM designed to be a competitor of Chat GPT. Claude is integrated into workflows and developer via API access. Its positioned as a safer alternative to other LLMs. Anthropic also publishes research on AI alignment and interpretability. | Rapid advancements in AI capabilities outpace efforts in alignment and safety, leading to risks of misuse, bias, and lack of control in powerful AI systems. | Anthropic creates AI systems with built-in safety principles, focusing on making them more interpretable and steerable, ensuring that AI behavior remains aligned with human values. | "Safe, steerable AI built with alignment at its core." | API-based access to Claude models under a usage-based pricing model. It partners with enterprises and developers to integrate its LLMs into products, services, and internal tools. | Anthropic builds frontier LLMs using reinforcement learning, constitutional AI, and interpretability-focused training techniques. The Claude models are optimized to maintain reliability and transparency in AI responses. The company prioritizes human-AI collaboration and makes technical safety a core part of development. | Anthropic stands out in the AI industry by prioritizing safety and alignment in the development of large language models. With its Claude family of LLMs, the company is in progress of building systems that are powerful and reliable, focusing on enterprise use cases with a demand in precision and trust. By positioning itself as a mission-driven alternative to traditional AI labs, Anthropic has attracted significant funding and partnerships, including multibillion-dollar support from Google. | /content/drive/MyDrive/engin183profiles/AIML Profile/leejoonsung_5794341_91419468_AI_ML Co Business Profile.docx | AIML Profile | 100M ARR | null | null | Over $7Bil | Not disclosed | Not applicable | 5 | 5 | 4 | 4 | 3 | 5 | 4 | 5 | -1 | 5 | 5 | 4 |
Papercup is a London-based startup specializing in AI-driven video translation and dubbing. Founded in 2017, Papercup aims to help content creators, media companies, and enterprises expand the reach of their video content by automatically translating speech into different languages with natural-sounding, human-like voices. Driven by advancements in deep learning and voice synthesis, the company’s vision is to break down language barriers, making high-quality localized audio accessible for any video—whether it’s for entertainment, corporate training, or educational material. | https://www.papercup.com | Private | “Making the world’s videos watchable in any language” | London, United Kingdom | 2017 | LocalGlobe, Sands Capital, Sky, Guardian Media Group, and others | Growth Stage | Papercup provides an AI-based video translation platform that automates the process of creating localized audio in multiple languages. Their solution pairs machine-translated subtitles with realistic AI-synthesized voiceovers, significantly reducing the cost and turnaround time typically associated with human dubbing. | Traditional dubbing and voiceover processes are time-consuming and expensive, often requiring specialized talent and extensive coordination. | An AI-driven platform that analyzes spoken content, translates it into target languages, and generates lifelike voiceovers with minimal manual intervention. | Papercup helps media creators quickly and affordably expand their global reach by automatically dubbing video content into multiple languages, preserving tone and style without the high costs of traditional dubbing studios. | Papercup operates under a B2B model. Clients pay subscription or usage-based fees depending on the volume of content translated and the complexity of voice customization. Some large enterprise deals may include premium service tiers and dedicated support. | Papercup’s technology combines neural machine translation (NMT) with proprietary text-to-speech (TTS) models. Their tech stack includes: Advanced language models for both speech recognition and language translation Voice synthesis and speech generation to produce realistic, context-aware dubbing Cloud-based processing for scalability and rapid turnaround | Papercup exemplifies how AI can transform a long-established but often under-served area: video dubbing and localization. By harnessing proprietary translation and text-to-speech models, Papercup helps both small and large content creators expand into new regions, reducing the friction and cost of localization. This approach resonates strongly with media companies looking to unlock new markets quickly. The founding team’s focus on AI research and practical deployment has yielded robust technology that has won over several high-profile clients. While competition in AI-driven media solutions is growing, Papercup sets itself apart with realistic voice quality, continuous improvements in language support, and partnerships with top-tier media organizations. With continued investment and increasing demand for globalized content, Papercup is well-positioned for further success in the evolving AI localization sector. | /content/drive/MyDrive/engin183profiles/AIML Profile/leemichelle_5618088_91426046_Papercup.docx | AIML Profile | Privately held; specific revenue figures are undisclosed | N/A (Private) | N/A (private) | Has raised more than $20 million across Seed and Series A rounds | N/A (early stage startup) | N/A (not publicly traded) | 4 | 4 | 5 | 4 | 3 | 4 | 4 | 5 | 3 | 5 | 4 | 5 |
Cleanlab is a technology company that is defining a new category of automated data curation, with the hopes of increasing reliability in AI and ML models. Cleanlab is creating tools that can automatically identify and resolve issues in datasets, including label issues and outliers, and is building the capability to handle nearly all data types. Their primary offering, Cleanlab Studio, helps make it easy to convert unreliable, real-world data into reliable models and insights. Cleanlab's mission is to enable enterprises with software designed specifically to remove the uncertainty surrounding data-centric machine learning operations, from data cleaning to reliable models trained on noisy, real-world labels. Cleanlab imagines a time when AI can successfully function on messy and real-world data, and that organizations can efficiently build reliable AI software applications. Cleanlab believes that security, data agnostic tools, scalability, and trust of the method add reliability to every datum's reliability using smart metadata. | https://cleanlab.ai/ | Private | GenAI that works reliably | San Francisco, CA | 2021 | Menlo Ventures, TQ Ventures | Growth | Cleanlab studio is an add on platform for AI that will automatically find and fix errors in large data sets that would have otherwise compromised the viability of the information that the AI/ML model was training on. What sets them apart is that it is data agnostic, can be domain specific, and is intuitive for users. Their mission is to empower companies with reliable models that is securely filtered in hours, not months. | Large datasets often have many errors that is not easily corrected by individual intervention. | An AI framework that detects and fixes errors and noisy data in datasets. | Cleanlab is able to clean and filter out noisy raw data that would have had an effect on the accuracy of the model. With Cleanlab studio, companies are reliably train data without the fear of the data being incorrect. | Subscription based. (Cleanlab Studio/ Cleanlab studio enterprise) | Cleanlab utilizes advanced algorithms based on "confident learning," an approach developed by its founders during their doctoral studies at MIT. This approach systematically identifies and fixes errors (e.g., mislabeled instances, outliers, duplicates) in datasets and works for data types like text, images, and tabular data. Cleanlab uses these algorithms in its platform to automate data curation and improve the reliability and performance of machine learning models trained on noisy, real-world data. | Cleanlab's success is its academic focus on automated data curation, which is a crucial aspect of high-quality and trustworthy data for AI and machine learning. Co-founders Curtis Northcutt, Jonas Mueller, and Anish Athalye are all PhDs from MIT and add credibility and a strong combination of academic rigor and industry experience. From their graduate student research, Cleanlab builds proprietary algorithms from these papers that automatically identify and repair data issues such as mislabeled examples or outliers, allowing organizations to improve their AI models' accuracy and efficiency. Cleanlab's innovation has captured a range of customers, including over 10% of the Fortune 500 firms AWS, JPMorgan Chase, Google, Uber, and Walmart, who count on Cleanlab to reach their data quality goals and, as a result, AI-based decision-making goals. | /content/drive/MyDrive/engin183profiles/AIML Profile/loubrandon_5568559_91423670_Spring2025_BusinessProfile_AIML.docx | AIML Profile | ~$4.9M | $104.77M | No IPO | Total funding ~$30M | null | null | 3 | 3 | 4 | 4 | 3 | 4 | 4 | 4 | 3 | 4 | 4 | 3 |
Synthesia is a standout AI startup transforming how organizations create and distribute video content. By eliminating the need for traditional video production resources, the company empowers users to create studio-quality videos using only text and a web interface. Its strength lies in solving a costly and time-consuming problem with an elegant, scalable solution.
The company has strategically positioned itself at the intersection of generative AI and enterprise communication, attracting significant venture capital and a growing customer base. Despite growing ethical scrutiny and increased competition, Synthesia’s strong leadership, cutting-edge tech, and clear value proposition continue to drive its success. | https://www.synthesia.io | Private Company | Create AI videos from text in minutes | London, UK | 2017 | Kleiner Perkins, GV, Firstmark, Seedcamp | Hypergrowth | Synthesia offers an AI video generation platform where users can type in text, choose an AI avatar, and produce videos in over 120 languages. Its primary services include corporate training videos, explainer videos, product demos, onboarding materials, and internal communications. The platform also includes custom avatars, screen recorder integrations, and automatic translations. | Video production is traditionally expensive, time-consuming, and resource-intensive. | Synthesia automates the video creation process through generative AI, enabling fast and scalable content creation. | Synthesia provides a faster, more affordable way to create high-quality video content, making it easier for businesses to communicate globally and consistently. | Synthesia operates on a subscription-based model, offering individual, corporate, and enterprise-level pricing tiers. It earns revenue through monthly/annual subscriptions depending on video minutes used, avatar features, and team access capabilities. | null | Synthesia is a standout AI startup transforming how organizations create and distribute video content. By eliminating the need for traditional video production resources, the company empowers users to create studio-quality videos using only text and a web interface. Its strength lies in solving a costly and time-consuming problem with an elegant, scalable solution.
The company has strategically positioned itself at the intersection of generative AI and enterprise communication, attracting significant venture capital and a growing customer base. Despite growing ethical scrutiny and increased competition, Synthesia’s strong leadership, cutting-edge tech, and clear value proposition continue to drive its success. It serves as a prime example of how AI can enhance—not replace—human creativity in corporate contexts. | /content/drive/MyDrive/engin183profiles/AIML Profile/lozanovillasenorsantiago_5769687_91415538_Spring2025_BusinessProfileFormat (2).docx | AIML Profile | estimated $50M | N/A (Private) | N/A | %156.6M (Series C as of 2023) | null | N/A | 5 | 4 | 5 | 4 | 3 | 4 | 5 | 5 | 3 | 5 | 5 | 5 |
Groq Inc., founded in 2016, is a technology company specializing in artificial intelligence (AI) and machine learning (ML) acceleration. The company's mission is to deliver unparalleled compute speed and efficiency for AI inference, enabling rapid innovation and discovery. Groq's flagship product, the Language Processing Unit (LPU), is designed to provide low-latency, high-throughput performance for complex AI workloads. By focusing on a software-first approach to hardware design, Groq aims to simplify the deployment of AI solutions across various industries. | https://groq.com/ | Private | Fast AI Inference | Mountain View, California, USA | 2016 | Tiger Global, BlackRock, D1 Capital, Addition, Cisco, Samsung Catalyst Fund, Neuberger Berman, Type One Ventures | Hypergrowth | Groq offers AI inference solutions through its Language Processing Unit (LPU) technology, available via GroqCloud (cloud-based API access) and GroqRack (on-premises deployment). Their product portfolio includes cloud-based inference services for running popular LLMs like Llama 4, Llama 3, and other open-source models. The company also provides hardware solutions for enterprises requiring on-premises AI compute capabilities. | Traditional GPUs struggle with latency and efficiency when running inference for large language models, making AI applications slow and expensive to operate. | Groq's LPU architecture delivers up to 10x faster inference speeds with significantly lower latency and energy consumption, enabling real-time AI applications and more cost-effective deployment. | Groq's LPU architecture delivers up to 10x faster inference speeds with significantly lower latency and energy consumption, enabling real-time AI applications and more cost-effective deployment. | Groq employs multiple revenue streams: a tokens-as-a-service (TaaS) model through its GroqCloud API (subscription/usage-based pricing), hardware sales for on-premises deployments, and hardware leasing/colocation services. For example, Llama 4 Scout is priced at $0.11/M input tokens and $0.34/M output tokens. | Groq's core technology is its Language Processing Unit (LPU), a novel AI accelerator architecture fundamentally different from GPUs. The LPU features a deterministic execution model with compute and memory co-located on the chip, eliminating resource bottlenecks. Their kernel-less compiler makes it easy to compile new models, and the architecture enables seamless scalability without caches and switches. This allows for consistent, predictable performance with ultra-low latency (1.6μs for a single rack) | Groq represents one of the most promising challengers to NVIDIA's dominance in the AI chip market. The company's success stems from its perfectly timed focus on AI inference—the computational process of running trained AI models—just as large language models like ChatGPT exploded in popularity. Founded by Jonathan Ross, who previously designed Google's TPU, Groq has leveraged deep technical expertise to create a fundamentally different chip architecture that delivers superior performance for AI workloads.
What sets Groq apart is its specialized Language Processing Unit (LPU) that achieves dramatically faster inference speeds (up to 10x) with lower latency and better energy efficiency than traditional GPUs. This technological advantage has allowed the company to secure significant funding ($1.05B total with a $2.8B valuation) despite modest early revenues. Groq has also shown strategic agility by evolving its business model from pure hardware sales to include cloud-based API services, making its technology more accessible to developers and enterprises.
As AI applications continue to proliferate and demand for efficient inference grows, Groq is well-positioned to capture significant market share, particularly in applications requiring real-time AI responses. However, the company still faces challenges in scaling its operations, expanding its customer base beyond early adopters, and competing against the established ecosystem advantages of larger competitors like NVIDIA. | /content/drive/MyDrive/engin183profiles/AIML Profile/manchandadivjotsingh_LATE_5795144_91426396_Groq.docx | AIML Profile | $46.6M estimated annual revenue (2025) | N/A (private company) | N/A (private company) | $1.05B total funding | Net loss of $88.3M(2023) | N/A (private company) | 4 | 4 | 5 | 4 | 3 | 4 | 4 | 5 | 4 | 5 | 5 | 4 |
SigTuple is a Bangalore-based healthtech startup revolutionizing medical diagnostics through the power of Artificial Intelligence and computer vision. Founded in 2015, the company aims to automate the analysis of medical data, starting with pathological tests like blood, urine, and semen analysis. | https://www.sigtuple.com | Private | Transforming Healthcare with Data Intelligence | Bangalore | 2015 | Accel, IDG Ventures India, Endiya Partners, Pi Ventures, Axilor Ventures | Growth | SigTuple develops AI-driven diagnostic solutions with its AI100 product at the core of the platform. AI100 is an advanced microscope that performs automated visual examinations of pathological samples (i.e., blood, urine, and semen). In addition to the AI100 microscope, SigTuple also has a cloud-based AI platform called Manthana that uses deep learning algorithms to process, analyze, and screen digitized images of pathological samples to identify any abnormalities, including the detection of parasites in blood. SigTuple's tools are explicitly addressed to clinical labs, hospitals, and diagnostic centers to create efficiencies for lab technicians and pathologists through automation. SigTuple also provided remote diagnostic capabilities to connect as needed with people across locations. | Shortage of skilled pathologists, slow and error-prone diagnostics. | AI-driven, automated sample analysis and remote diagnostics. | Faster, accurate, cost-effective diagnostics, even in remote areas. | Subscription + Hardware Sales. Labs pay for AI100 devices and ongoing AI software access. Also uses channel and VAR partnerships. | Uses deep learning, computer vision, and cloud computing. Built with Python, TensorFlow, AWS, and React; integrates smart hardware with AI models trained on medical images. | SigTuple is an eminent AI-focused health tech company located in India which is making significant strides in the field of medical diagnostics through novel solutions. Established in 2015, the company aims to design AI-based technologies that automate diagnostic flow, notably blood, urine, and semen samples through its main AI100 smart microscope system. SigTuple has also developed Manthana, a cloud-based AI platform to improve diagnostics and operational efficiency amongst healthcare providers.The company's key value proposition is to make the diagnostic workflow faster, more accurate, and less expensive, criitically where there is a lack of skilled practitioners. With over $40 million raised in funding, including Accel Partners, IDG Ventures, and Binny Bansal, SigTuple has received FDA regulatory approval for its AI-enabled products and is readied to expand to more marketplaces.SigTuple's business model is a combined hardware sale and subscription-based SaaS business to support its long-term business growth.
The company operates in a fast-growing market segment of AI healthcare, with a great and lasting atmosphere for meaningful innovation. SigTuple's challenge lies to be able to grow in a complicated regulatory background while competing against other AI healthcare companies.
SigTuple's key success factors are effective leadership, a unique product, a strong value proposition, and the ability to adapt to staking customer needs within healthcare. SigTuple's focus on product development, customer development, and international growth and scale market will make the company a leader within the AI healthcare market. | /content/drive/MyDrive/engin183profiles/AIML Profile/nrmugheshkumar_5795003_91423896_AI.docx | AIML Profile | null | null | null | total funding to date exceeds $40 million. | null | null | 4 | 4 | 5 | 5 | 3 | 4 | 4 | 5 | 5 | 5 | 4 | 5 |
DeepSeek is a Chinese artificial intelligence (AI) company specializing in the development of open-source large language models (LLMs). DeepSeek's mission is to advance artificial general intelligence (AGI) through open-source research and development, aiming to democratize AI technology for both commercial and academic applications. By making its models and training data publicly available, DeepSeek enhances accountability and encourages global collaboration. The company's focus is on developing efficient AI models that rival or surpass existing industry leaders in performance and cost-effectiveness. DeepSeek employs innovative training techniques, such as test time scaling and chain-of-thought reasoning, to optimize efficiency and accuracy. This approach has led to the creation of models like DeepSeek-R1, which excel in complex tasks, including mathematics and coding, while being trained with fewer resources compared to counterparts like OpenAI's GPT-4. | deepseek.com | Private | Into the unknown | Hangzhou, Zhejiang, China | July 17, 2023 | High-Flyer | Hypergrowth | DeepSeek offers a range of AI models and services, including general language models, specialized coding models, and reasoning models. Their portfolio includes DeepSeek Coder (Nov 2023), DeepSeek LLM series (Nov 2023), DeepSeek-MoE models (Jan 2024), DeepSeek-Math models (Apr 2024), DeepSeek-V2 (May 2024), DeepSeek-V2.5 (Sep 2024), DeepSeek-V3 (Dec 2024), and their flagship DeepSeek-R1 model (Jan 2025). These models are available through a free web interface, mobile applications, and paid API access for developers. | High costs and computational requirements for developing advanced AI models | Efficient AI models that perform competitively while using fewer resources | High-quality AI capabilities at significantly lower cost and with open-source availability | DeepSeek operates on a token-based pricing model, charging users based on the number of input and output tokens processed through its API services. This approach allows for flexible and scalable usage, accommodating businesses of various sizes and needs. Initially, DeepSeek offered promotional pricing to attract users, setting input token costs at $0.27 per million tokens and output tokens at $1.10 per million tokens. Following the promotional period, prices were adjusted to $0.55 per million input tokens (cache miss) and $2.19 per million output tokens. Additionally, DeepSeek introduced off-peak pricing discounts of up to 75% during specific hours (16:30-00:30 UTC) to encourage usage during lower-demand periods. This pricing strategy has resulted in significant cost advantages for DeepSeek's clients. For example, DeepSeek's API costs are approximately 20 to 40 times cheaper than those of competitors like OpenAI, making it an attractive option for cost-conscious enterprises. The company's focus on efficiency has also led to impressive profit margins; DeepSeek reported a theoretical cost profit margin of 545% on its online services. | DeepSeek leverages a sophisticated technology stack to develop its advanced AI models. At the core, it utilizes a Mixture-of-Experts (MoE) architecture, notably implemented in models like DeepSeek-V3, which comprises 671 billion total parameters with 37 billion activated per token. This architecture enhances computational efficiency by activating only relevant subsets of the model during processing. Additionally, DeepSeek employs Multi-head Latent Attention (MLA) mechanisms to compress key-value caches into latent vectors, significantly reducing memory requirements and improving inference speed. The training process is optimized through co-designing algorithms with hardware, allowing models to be trained on clusters of Nvidia H800 GPUs in a cost-effective manner. | DeepSeek has emerged as a disruptive force in the AI industry by leveraging cost-efficient training methods, innovative architecture, and strategic market positioning. Its ability to achieve competitive performance at a fraction of the cost has challenged industry norms dominated by firms like OpenAI and Google. | /content/drive/MyDrive/engin183profiles/AIML Profile/pantianyue_5795402_91416908_Deepseek_TIANYUE PAN-1.docx | AIML Profile | null | null | null | Estimated $50 million | null | null | 4 | 5 | 5 | 3 | 2 | 5 | 5 | 5 | 4 | 5 | 5 | 5 |
C3.ai was established in 2009 and is a leading enterprise AI software firm working to accelerating digital transformation for industries globally. The firm offers a portfolio of over 130 AI applications that address critical business problems across industries such as manufacturing, financial services, government, utilities, chemicals, defense, and intelligence. C3 seeks to enable businesses to experience the full potential of AI, with the company's core values emphasizing customer success, integrity, innovation, and excellence. By providing a family of deep code, low code, and no code dev, C3.ai allows organizations to easily build and deploy enterprise-grade AI applications at high velocity. | https://c3.ai/ | Public | Proven results in weeks, not years | Redwood City, CA | 2009 | Vanguard, Blackrock | Hypergrowth | C3 offers a suite of enterprise AI solutions for a wide range of industries, including software that detects money laundering, churn management, cash management, smart lending and much more. They provide the C3.ai Studio, which is a suite of dev tools at varying levels that allow customers to quickly integrate the AI products into their businesses. These software solutions have no-code, low code and deep code variations to make it easier for those with varying levels of programming knowledge to be able to employ C3’s products into their business. | C3 solves the problem businesses have with the intricacies of employing AI solutions in their enterprise. | They offer numerous AI software solutions and their dev tool platform for these companies to integrate AI solutions in their business | To deliver scalable AI solutions to accelerate efficiency, generate insights and boost business innovation. | C3.ai operates on a subscription-based model, generating revenue through licenses, maintenance, implementation and training. The company also partners with cloud providers like Microsoft Azure, AWS, and Google Cloud to expand its market. Their primary marketing efforts come from these cloud providers. In fiscal Q1 2025, C3 reported $52.2 million in revenue with around 80% coming from subscriptions. | C3's tech stack facilitates development, deployment, and operation of enterprise AI software. Their platform has a model-driven architecture that supports fast application development. The platform integrates various data storage methods like relational databases, key-value stores, graph databases, and distributed file systems to store various big data sets. For ML operations, C3 utilizes tools such as Jupyter Notebook, R, Python, and Scala to offer flexibility and scalability in model development. The platform also leverages cloud infrastructure services from AWS, Microsoft Azure, and Google Cloud to offer scalability and high-performance computing. | The success of C3 primarily comes from its enterprise AI platform addressing fundamental issues across a spectrum of industries. By delivering over 130 AI-powered applications, C3 helps firms to optimize operations, reduce expenses, and drive their AI transitions. C3's strategic partnership with large cloud providers like Microsoft Azure, AWS, and Google Cloud has also expanded its reach and potential, directly connecting potential clients with C3. C3's subscription-based recurring revenue model provides a recurring revenue source, which has demonstrated resilience during poor economic conditions. They’ve seen respectable year over year growth. C3's ability to incorporate deep code, low-code, and no-code development opportunities on its platform has made AI accessible to a broader range of clients, helping them become a leader in the enterprise AI market. This adaptability and the popularity of its solutions have been key to C3's continued success amidst a competitive sector. | /content/drive/MyDrive/engin183profiles/AIML Profile/patelrushi_5610698_91404813_Spring2025_BusinessProfileFormat (3).docx | AIML Profile | 2024: 311 million | 2.5 billion | Stock symbol: AI
Price now: 18.99
52 week high: 45.08
52 week low: 18.85 | $444 million over 10 rounds,
Now public | -76.6% | PE Ratio: -10.14 | 5 | 5 | 4 | 4 | 3 | 4 | 3 | 4 | 5 | 5 | 5 | 4 |
Edda.ai currently serves businesses in the restaurant industry and other sectors within the service industry by using AI-powered demand forecasting to transform operations. It addresses the challenge of measuring daily sales and revenue, which can be scattered across multiple systems like PoS, QR codes, Foodora, Wolt, and apps. By integrating all this data into a single data warehouse and creating dashboards, Edda provides businesses with real-time insights. The AI analyzes historical data, weather forecasts, holidays, and local events to generate accurate predictions for customer traffic and revenue. Edda also offers staffing insights, delivering automated recommendations for optimal staffing levels, which help improve efficiency, reduce costs, and boost both employee and customer satisfaction. Edda’s AI-driven solutions empower businesses to make informed, data-backed decisions at all levels. | https://www.edda.ai/ | Private sector | “ Full control, better margins”. | Oslo, Norway | 2024 | Startuplab, Andenes Ventures and Aidiom. | Generating revenue | Edda.ai offers six powerful modules that use a combination of AI and integrated data from various systems to optimize business operations, especially in the restaurant industry. Total Control: AI automates data collection and analysis, providing real-time insights into key KPIs, eliminating manual reports. Revenue Insights: AI analyzes sales trends, product distribution, and customer behavior, helping businesses optimize menus and sales strategies. Staffing Optimization: Using AI and live data from sales, bookings, and weather, it helps businesses adjust staffing levels for maximum efficiency. Live P&L: Combines AI and live data to track profit and loss in real time, enabling businesses to make immediate operational adjustments. Booking: AI-powered analysis tracks booking trends and cancellations, helping businesses better manage capacity and increase revenue. Department Leader: A dashboard that uses AI and integrated data to give department heads real-time performance insights, enabling proactive decision-making. | Businesses, especially in the restaurant industry, face challenges in managing data, forecasting demand, staffing, and tracking performance, often resulting in inefficiencies and lost revenue. | Edda.ai’s AI-powered platform integrates data from various systems to automate processes like forecasting, staffing optimization, and real-time performance tracking for smarter decision-making. | Edda.ai enhances efficiency, reduces costs, and improves decision-making by providing real-time insights, automated forecasting, and optimized staffing, leading to better profitability and customer satisfaction. | Edda.ai operates with a SaaS (Software as a Service) business model, offering subscription-based access to its AI-powered platform. | Edda uses AI-based models and advanced data integration technology to process and analyze large datasets. The platform combines machine learning algorithms with real-time data from various business systems and external sources, providing automated insights and predictions. | Edda.ai is an AI-driven platform that helps businesses, especially in the service and retail sectors, optimize their operations. By integrating data from multiple systems like sales, bookings, and staffing, it offers real-time insights and forecasts, improving decision-making. Edda.ai specializes in demand forecasting and staffing optimization, allowing businesses to reduce costs, increase efficiency, and enhance customer satisfaction. With a SaaS model, Edda.ai provides scalable solutions for companies looking to improve their operational processes, making it a valuable tool for both small and large businesses. | /content/drive/MyDrive/engin183profiles/AIML Profile/rostadsandsynne_5794130_91380251_Edda.ai Company Description.docx | AIML Profile | ~$ 41 000 | null | N/A | Number of Funding Rounds: 1
Total funding Amount: ~$ 700 00 | N/A | N/A | 4 | 3 | 5 | 3 | 3 | 4 | 4 | 5 | 4 | 5 | 4 | 5 |
Augmedix Inc operates in the US healthcare market, providing medical documentation solutions for hospitals, clinics, and individual practitioners. Their products capture clinician to patient conversations and transform them into real-time medical notes, seamlessly integrated into electronic health records. Augmedix generates revenue through subscription-based services for remote medical documentation and clinical support. | https://www.augmedix.com/ | Private | AI-centric solutions for human-centric medicine | San Francisco | 2012 | Redmile Group | Growth | Augmedix Inc offers AI-driven medical documentation solutions designed to minimize the administrative burdens on healthcare providers. Their product captures natural clinician to patient conversations and converts them into real-time medical notes, seamlessly integrating with electronic health records. This allows clinicians to focus more on their patients and patient care rather than paperwork. | Clinicians often face a significant amount of administrative tasks, leading to reduced time for direct patient care and potential burnout. | Augmedix provides ambient AI solutions to automate medical documentation, ensuring accuracy and efficiency. | Enhances the clinician to patient relationship, improves workflow efficiency, and reduces the administrative load on healthcare professionals. | Operates with a subscription-based model, charging healthcare organizations and individual practitioners for access to their AI-powered documentation service. This model ensures a steady revenue stream while providing scalable solutions tailored to various clinical settings. | The company's platform leverages advanced large language models (LLMs), including collaborations with Google Cloud's MedLM suite, to process and transcribe medical conversations accurately. Their integration of AI and human-assisted support ensures high-quality documentation. | Augmedix Inc has found success by addressing a critical pain point in healthcare, which is the administrative burden of medical documentation. By leveraging their AI technology, the company enables real-time conversion of clinician to patient conversations into structured medical notes, seamlessly integrating with electronic health records. Their innovation allows healthcare providers to spend more time on patient care while they improve workflow efficiency, making Augmedix an attractive solution for both hospitals, individual practitioners, and clinics. | /content/drive/MyDrive/engin183profiles/AIML Profile/saetrevanessa_5794411_91307635_Augmedix.docx | AIML Profile | Q2 2024: total revenue 13.66 million USD | 197.62 million USD, 19th of March 2025 | Symbol: AUGX on Nasdaq Current price 4.07 USD 52 week range: 1.50-6.25 USD | Later Stage VC (Series B) | Reported at -46.29%, current operational losses | NaN, due to negative earnings | 3 | 4 | 4 | 4 | 3 | 3 | 4 | 4 | 4 | 4 | 4 | -1 |
Perplexity AI | www.perplexity.ai | Private | “The Search Engine that Answers” | San Francisco, California, USA | 2022 | IVP, NEA, Nvidia, Jeff Bezos | Hypergrowth | Perplexity AI provides a conversational search engine that combines large language models with live internet indexing to generate fact-checked, source-backed answers. Unlike other AI models that rely on pre-trained data, Perplexity pulls real-time information from verified sources, improving accuracy and credibility. The company also offers a Pro version with enhanced search capabilities, API access, and premium features tailored for researchers and professionals. | Traditional search engines are cluttered with ads, SEO-optimized content, and irrelevant links, making it harder for users to find precise, unbiased answers. | Perplexity AI delivers direct, sourced, and ad-free responses by combining real-time web crawling with AI-powered natural language processing. | Perplexity emphasize on accuracy and transparency while reduce the information chunk size from overloading. | Freemium Model, Subscription Model, Enterprise and API Sales | Perplexity AI leverages large-scale transformer models similar to OpenAI’s GPT, combined with real-time web crawling and retrieval-augmented generation (RAG). Its architecture ensures that answers are continuously updated with fresh, sourced information, reducing hallucinations and improving response accuracy. The AI stack is built for scalability, allowing integration with external APIs and third-party platforms. | Perplexity AI has built a strong foundation in the AI-powered search space, positioning itself as a serious alternative to traditional search engines. With a solid leadership team and well-managed financial backing, the company has scaled rapidly, securing key investors and maintaining a sustainable growth trajectory. While its differentiation in the market is still developing, its ability to offer real-time, sourced answers without ads gives it a clear edge in terms of value proposition.
The business model is structured for scalability, balancing freemium access with a premium subscription model. Marketing has been a major strength, driving adoption and positioning Perplexity as a legitimate competitor to tech giants like Google and Microsoft. Internally, the company has cultivated a strong culture of innovation, with leadership demonstrating resilience in adapting to the fast-moving AI landscape. Its ability to meet customer needs is a key differentiator, ensuring a streamlined and transparent search experience.
Timing has been a crucial factor in Perplexity’s success, launching at a moment when AI-driven search is in high demand. Strong regulatory compliance and IP protection reinforce its credibility, while the product itself is well-designed and continuously evolving. With the right strategic moves, Perplexity AI has the potential to further establish itself in the market, but continued differentiation and refinement of its long-term positioning will be critical to sustaining its momentum as of now. | /content/drive/MyDrive/engin183profiles/AIML Profile/sawasdeeponnoah_5794019_91318769_Perplexity-1.docx | AIML Profile | null | N/A (Private) | N/A | Over $100M+ raised | null | null | 4 | 5 | 3 | 4 | 5 | 4 | 4 | 5 | 5 | 5 | 5 | 5 |
Clova is an AI platform developed by NAVER Corporation(Biggest Portal Service). Introduced in March 2017, Clova integrates advanced AI technologies such as speech recognition, natural language processing, and image recognition to provide a wide range of services and products. The platform aims to enhance transcribe, organize meeting resources. | https://clova.ai/en | Private | We strengthen platform competitiveness and expand business synergy through hyperscale AI. | Seongnam-si, Gyeonggi-do, South Korea | 2009 | Naver Corp | Growth | 1 paragraph to list the offerings, including products and services being sold. | Enhancing human-computer interactions by making them more natural and intuitive through advanced AI technologies. (Especially Voice, transcribe…etc) | Providing various of applications including speech recognition, speech synthesis, NLP | Cutting-edge technologies, better than others. Improving user experiences across various applications and devices | Clova operates as a subsidiary of NAVER Corporation, integrating AI technologies into NAVER's existing services and offering AI solutions to external business clients. | Clova leverages DL(Deep Learning) and neural network technologies to power its AI services, including speech recognition, speech synthesis, and KoreanLLM. | As a leading Korean tech company, Clova’s focus on building Korean-specific AI models is commendable. Its excellence in speech recognition(voice tech) and natural language processing for the Korean language has made it a reliable engine powering many of NAVER’s services. However, its marketing and service reach have remained mostly confined to the domestic market, which limits its global influence despite its technical strength. Clova, as a NAVER Cloud AI platform, has positioned itself as a core technology engine not only for NAVER’s services but also for external clients seeking high-performance AI solutions. Its strength lies in language-specific models optimized for Korean, advanced voice technologies, and seamless integration across NAVER’s digital products. Despite being a latecomer in the global LLM race, Clova has leveraged its deep ecosystem within Korea and consistent R&D support from NAVER Corp. Its growth in revenue, especially in cloud and AI services, demonstrates its rising impact. The launch of HyperClova X marks a strategic pivot to compete globally with customized, multimodal AI models. The company’s future success hinges on how well it can scale this AI capability beyond Korea. | /content/drive/MyDrive/engin183profiles/AIML Profile/seonjongyeop_5794671_91426216_Spring2025_BusinessProfileFormat_clova.docx | AIML Profile | $433.6 M | Private | null | null | null | null | 2 | 3 | 2 | 3 | 4 | 4 | 3 | 5 | 5 | 5 | 4 | 3 |
Decagon is an AI startup focused on transforming customer support operations. Decagon’s mission is to enhance customer service experiences by deploying AI agents who can handle inquiries across chat, voice, and email channels. Decagon focuses on delivering safe, scalable, and context-aware converational AI agents, enabling enterprises to improve response time, and customer satisfaction. | https://decagon.ai/ | Private | “Reimagine your customer service with AI agents.” | San Franscisco, California | 2023 | Bain Capital Ventures, Accel, a16z, Bond Capital | Growth (Series B) | Decagon offers a comprehensive AI agent platform that includes five features, a Core AI Agent, Routing, Agent Assist, a Dashboard, and a QA Interface. Core AI Agent: This is the brain that handles all Enterprise logic via email, voice, and chat channels. Routing: The routing intelligently routes and escalates inquiries to the appropriate channels. Agent Assist: The agent assist is a real-time copilot for human customer service agents during customer interactions. This aspect integrates with Salesforce and Zendesk. Dashboard: The dashboard proactively extracts insights and patterns across customer interactions and suggests improvements. QA Interface: The QA interface reviews and provides feedback on conversations handled by both human and AI agents. | Inefficient,inconsistent and unscalable customer support systems which lead to long response times, high operational costs, and low customer satisfaction. | Autonomous AI agent platform that handles inquires across multiple channels, providing consistent, timely, and cost-efficient customer support. | Improve customer satisfaction and streamline operations with fast, reliable support- cutting costs while freeing up human agents to handle more complex tasks. | Decagon operates on a B2B subscription model. The compant offers a free trial of the product, which then allows enterprises to continue with the subscription plan if they are satisfied with the product. | Decagon utilizes generative AI and natural language processing to understand and respond to customer inquiries. To ensure consistency and accuracy with responses, the system incorporates Agent Operating Procedures (AOPs). Additionally, the tech stack includes proprietary AI models, integration with CRM systems, and an analytics tool for performance monitoring. | Decagon is reshaping customer service through fully autonomous, context-aware AI agents that can execute multi-step workflows across communication channels and business operations. The driving force behind Decagon’s success is its product and core idea: reimagining the role of AI in the enterprise by designing agents that act like teammates, not tools. Their leadership, made up of founders with a proven track record in building successful companies, further propelled their growth. What truly sets Decagon apart, however, is its technological architecture. With goal-directed AI agents, full autonomy, and four core components (the Core AI Agent, Routing Module, Agent Assist, and Admin Dashboard), the platform delivers unmatched operational intelligence. Combined with spot-on timing amidst the AI boom, Decagon is positioned as a frontrunner in enterprise automation. | /content/drive/MyDrive/engin183profiles/AIML Profile/serafinnina_5660605_91426319_Spring2025_BusinessProfileFormat.Decagon.docx | AIML Profile | null | null | null | Seed: $5.0M
Series A: $30.0M
Series B: $65.0M
Total Funding: $100M | null | null | 5 | 5 | 4 | 4 | 3 | 4 | -1 | 4 | 4 | 5 | 5 | 5 |
Arize AI is a leading company in AI observability and ML model monitoring. The platform is built to help the data science and engineering teams monitor and improve ML models. By providing real-time insights into model performance, Arize enables users to catch issues early on and assess problems quickly. The company’s primary mission is to offer a robust and scalable solution for model observability that helps teams build, deploy, and maintain quality AI systems.
Arize AI’s platform supports a wide range of cases such as LLMs, with tools for detecting performance issues, evaluating model predictions, and improving efficiency. The company emphasizes automation and ease of workflows which makes it easier for teams to monitor their models, track metrics, and data driven improvements. Because of its focus on AI transparency, Arize AI aims to bridge the gap between model development and deployment, driving both innovation and trust in AI systems. Arize AI’s solutions ensure that organizations can maximize the value of their AI investments. | https://arize.com/ | Private | “We make AI work” | Berkeley, CA | 2020 | Adams Street Partners, M12 (Microsoft's venture fund), Sinewave Ventures, OMERS Ventures, Datadog, PagerDuty, Industry Ventures, Archerman Capital | It is in growth phase, in Feb of this year they raised $70 million in a Series C funding round. Developments reflect the company’s ongoing expansion | Arize AI offers a suite of products and services designed to enhance AI observability and model performance. Their main offering is the Arize AI platform, which includes tools for real time monitoring, troubleshooting, and ML model evaluations. Key features of the platform include model performance tracking, bias detection, root cause analysis and drift analysis. Also, Arize AI provides integrations with popular machine learning frameworks and tools, enabling seamless integration into existing workflows. They help organizations ensure X$ans their AI models deliver accurate, scalable, and trusty outcomes. | AI and ML models are often deployed without proper observability, leading to performance issues and lack of transparency. | They offer a comprehensive platform for AI. Their platform provide real time insights. | Ariza AI offers tools for monitoring, debugging, and improving AI models to ensure transparency, trust, and performance at scale. | They follow a subscription based business model. They offer a platform for monitoring and improving AI model performances, and their model typically includes different tiers depending on scale and usage needs of the organization. Metrics often include Monthly Active Users, RPU, expansion revenue, and revenue per user. | Arize AI’s tech stack is a combination of modern machine learning, data engineering, and cloud technololgies to provide an observability platform for AI models. They integrate popular ML frameworks to allow for model tracking and performance monitoring. They use cloud technologies for scalability and handling large AI deployments. Arize uses data analytics to detect issues in real time. | Arize AI has carved a niche in the growing field of AI by providing innovative solutions that allow businesses to monitor, debug, and optimize their AI models in real time. Their platform addresses the critical challenge of ensuring that AI systems perform as expected. The company’s success can be attributed to its strong leadership, advanced technology, and recognition of the growing need for model monitoring as AI becomes integral across industries. Arize AI has been able to help organizations have reliable and accurate models through automated anomaly detection.
The company’s business model, revolving around cloud based SaaS solutions is well aligned with industry demands for scalable, efficient tools that simplify complex AI management tasks. Arize AI has also demonstrated a strong financial acumen by securing funding from investors ($70 million Series C round). The company’s ability to differentiate itself in a competitive market and with its value proposition, created stronger user satisfaction and industry recognition. As AI adoption continues to expand, Arize AI’s solutions are poised to play a pivotal role in shaping the future of AI.
In addition to its innovative tech and strong business foundation, Arize AI benefits from a culture of collaboration and resilience. The company has shown adaptability in navigating industry challenges and pivoting in response to market needs. Arize AI’s solutions continue to be essential for ensuring the responsible and effective deployment of machine learning models. | /content/drive/MyDrive/engin183profiles/AIML Profile/shahpiya_5664667_91409620_Spring2025_BusinessProfileFormat_AI.docx | AIML Profile | null | null | null | $70 million in a Series C funding round | null | null | 5 | 5 | 5 | 4 | 3 | 4 | 4 | 5 | 4 | 5 | 4 | 5 |
Quris AI is a cutting-edge biotechnology company pioneering the use of artificial intelligence to revolutionize drug development. Founded with the goal of enhancing the predictability and efficiency of pharmaceutical R&D, Quris focuses on solving one of the industry's most persistent challenges: accurately forecasting human response to drugs before clinical trials. By leveraging AI-driven "patient-on-a-chip" technology, the company replicates human biology at the microscale, enabling more precise, ethical, and cost-effective drug testing.
The company's mission is to eliminate the guesswork and inefficiencies that plague traditional drug development by integrating AI with advanced cell biology. This approach allows Quris to identify promising drug candidates with a higher likelihood of success in clinical trials, reducing both the time and financial investment needed to bring new therapies to market. With a strong emphasis on personalized medicine, Quris aims to pave the way for safer, more effective treatments tailored to individual patient needs.
At its core, Quris AI is focused on transforming the pharmaceutical landscape by replacing outdated animal models with human-relevant testing systems. Its innovative fusion of bioengineering, stem cell technology, and machine learning not only accelerates the path to new cures but also ensures a future where patients receive treatments that are safer, faster, and more precisely targeted. | https://www.quris.ai/ | Private | tackling the most impactful AI challenge of our time: predicting which drug candidates will safely work in humans. | Tel Aviv, Israel | 2021 | SoftBank Vision Fund 2, GlenRock Capital, iAngels, Welltech Ventures, and First Avenue Ventures | Growth | Quris AI offers an AI-powered “patient-on-a-chip” platform that predicts drug safety and efficacy using human stem cell models. Its services include drug safety profiling, custom predictive modeling, and partnerships for AI-driven drug discovery. | Quris AI solves the problem of high drug failure rates by accurately predicting which drug candidates will be safe and effective in humans before clinical trials. | Quris AI offers a predictive platform that uses AI and human-based "patient-on-a-chip" technology to accurately test drug safety and efficacy, reducing the risk and cost of drug development. | Quris AI's value proposition is to accelerate drug development by providing more accurate, cost-effective, and human-relevant predictions of drug safety and efficacy, reducing the time and financial risks associated with clinical trials. | Quris AI operates on a Subscription and Fixed Price business model. It offers its AI-powered drug development platform and services to pharmaceutical companies through subscription-based access, while also providing custom services like predictive modeling and drug safety profiling on a fixed-price basis. Key metrics include the number of active subscriptions, customer retention rates, and the total value of contracts for bespoke services. | Quris AI leverages a cutting-edge technology stack that combines artificial intelligence, machine learning, and advanced bioengineering. Its core innovation is the “patient-on-a-chip” system, which replicates human tissue using stem cell-derived models, enabling more accurate simulations of drug responses. The platform integrates AI algorithms to analyze vast datasets, predict drug safety and efficacy, and provide insights into personalized medicine. This tech stack includes deep learning frameworks, cloud-based computational tools, and specialized bioengineering systems for tissue modeling, making it a comprehensive solution for drug development. | Quris-AI has emerged as a leader in AI-driven drug development due to its unique approach in leveraging artificial intelligence to predict human responses to drug candidates. By using its proprietary Bio-AI platform, the company reduces the risks associated with clinical trials, which are traditionally costly and prone to failure. This innovation directly addresses one of the biggest challenges in the pharmaceutical industry—predicting drug efficacy and safety before reaching human trials—thus making drug development faster and more cost-effective. The company’s strong leadership, innovative technology, and ability to meet pressing industry needs have positioned it well for sustained success.
Additionally, Quris-AI's strategic partnerships, including its collaborations with industry giants like Merck KGaA and its acquisition of cutting-edge technologies such as Nortis, have further enhanced its platform’s capabilities. By combining AI with organ-on-chip technology, the company is able to predict drug-induced toxicity and responses more accurately. These advancements have strengthened its value proposition, solidifying Quris-AI as a trusted partner in the pharmaceutical sector. With its clear focus on fulfilling unmet needs and its proven ability to adapt and pivot in a competitive landscape, Quris-AI has successfully carved out a crucial niche in the growing field of AI-powered drug development. | /content/drive/MyDrive/engin183profiles/AIML Profile/solorzanomariaisabella_5611636_91392492_Spring2025_BusinessProfileFormat (2).docx | AIML Profile | N/a | N/a | N/a | Quris AI has raised a total of $37 million in funding across multiple rounds. Notable rounds include:
Seed Round: $9 million led by SoftBank Vision Fund 2 in December 2022.
Series A: Additional funding raised from investors such as GlenRock Capital, iAngels, and Welltech Ventures. | N/a | N/a | 5 | 4 | 5 | 4 | 4 | 4 | 5 | 5 | 4 | 5 | 4 | 5 |
LangChain, founded in 2022, is an open-source framework that helps developers build LLM-powered apps like chatbots and Q&A tools. With its modular design and easy integration of external data and tools, it’s become a go-to platform for creating interactive generative AI solutions. | https://www.langchain.com/ | Private | Build LLM apps of tomorrow, today | San Francisco, CA | 2022 | Benchmark, Sequoia, Amplify Partners, etc. | Hypergrowth | LangChain builds tools that help developers create and manage applications using large language models (LLMs). Its main products, LangChain and LangSmith, let users connect LLMs with other data and track how well they work. These tools make it easier and faster to build AI apps that are ready for real use. | Building LLM apps is complex, especially when connecting with external data and tracking performance | LangChain and LangSmith simplify LLM app development, providing integration tools and observability features | LangChain makes it faster and easier for developers to create powerful AI applications, even with limited resources | LangChain is open-source and monetizes through LangSmith, a paid platform offering tools for evaluating and managing LLM apps. | LangChain uses Python and TypeScript to build LLM apps. It supports RAG, connects to APIs and databases, and integrates with major AI models like OpenAI and Anthropic. | LangChain's success is attributed to its strong leadership, innovative product design, and effective marketing strategy. The company showcased its financial status, met customer needs through its multifunctional LangSmith platform, and is at the forefront of the fiercely competitive field of artificial intelligence development tools. With a strong culture of innovation, solid intellectual property practices, and timely product releases, LangChain is fully prepared for sustained growth. | /content/drive/MyDrive/engin183profiles/AIML Profile/tanzunyu_5671125_91419013_Spring2025_BusinessProfileFormat (AI).docx | AIML Profile | null | null | null | $40 million total | null | null | 5 | -1 | 4 | 4 | 4 | 5 | 5 | 5 | -1 | 5 | 5 | 5 |
Glean’s purpose is to maximize every employee’s ability to do their best work through the use of AI. Their main focus is in making it easier for employees to find answers at the workplace. However, their purpose also involves improving employees’ work experience by creating AI that helps create new content and automate work. | glean.com | Private | Work AI for all. | Palo Alto, CA | 2019 | Coatue, Kleiner Perkins, General Catalyst, ICONIQ Growth, Cacti, Latitude Capital, Craft Ventures, Altimeter, Lightspeed Venture Partners | Growth | Glean offers a variety of services such as a work AI platform, workplace search, Glean Assistant, Glean Agents, data analysis tools, and AI Governance. Glean offers a variety of services that can help boost productivity in the workplace as well as tools that help other companies create their own AI tools and applications. Although the primary purpose of Glean is to provide workplace search, Glean also provides AI that can help automate tasks and analyze data. | Employees often struggle with finding answers to questions that are specific to their work environment. Data that one needs can be scattered across multiple application and data sources, | Glean offers workplace search that allows for easy and efficient search through workplace information. This search accesses all documents and all applications that the user has access to in order to retrieve information. | Using Glean’s services, companies will benefit from increased productivity through employees who have greater awareness and knowledge. Glean’s other AI services also boost productivity through automation. | Glean has a B2B business model. Companies pay for Glean’s services. Glean then works closely with the company to integrate the search and work AI platform into their environment. | Glean makes heavy use of LLMs and agentic AI in order to provide its services. Glean also works with cloud solutions such as Google Cloud. | Glean’s primary reason for success is its ability to integrate all parts of the workplace into its solutions. This allows employees to use everything from company documentation to their own Slack messages when trying to perform a workplace search. Moreover, Glean’s focus on proactive suggestions is also a major differentiating factor. This enables Glean to maintain high customer satisfaction. Glean also provides tools for creating AI applications, which is a growing need in today's AI-driven world. | /content/drive/MyDrive/engin183profiles/AIML Profile/tatikondanithin_5568199_91394542_Glean Profile.docx | AIML Profile | null | null | null | $620M total, 5 rounds | null | null | 5 | 3 | 3 | 3 | 3 | 3 | 2 | 4 | 5 | 4 | 4 | 4 |
Reflexivity (formerly Toggle AI) is a technology company specializing in AI-driven automation and robotics for industrial applications. Originally focused on robotic rebar fabrication for the construction industry, the company has evolved to develop advanced AI-powered solutions that enhance efficiency, precision, and scalability in complex manufacturing and labor-intensive processes. Reflexivity’s mission is to bridge the gap between human labor and automation by leveraging cutting-edge artificial intelligence, driving innovation in industrial workflows, and enabling smarter, more sustainable operations. | https://toggle.ai/ and https://reflexivity.com/ | Private | You don’t need to be a data scientist to harness the power of AI. | HQ: New York | 2019 | SoftBank Latin America Fund, General Catalyst | Growth, Hypergrowth, Pivot, Winddown, For sale, Bankrupt, etc | Reflexivity offers AI-powered robotics and software solutions that automate labor-intensive tasks in industries like construction. Its core product is a robotic system for rebar fabrication, supported by intelligent software that optimizes workflows and adapts to project needs. Reflexivity also provides deployment and support services, helping clients boost productivity, reduce costs, and improve safety. | Reflexivity is solving the problem of labor shortages and inefficiencies in construction and manufacturing by automating time-consuming, repetitive tasks with AI-driven robotics. | Reflexivity offers an AI-powered robotic system that automates repetitive, labor-intensive tasks to boost efficiency, reduce costs, and address workforce shortages. | Reflexivity’s value proposition is increased efficiency, lower labor costs, and improved safety through intelligent automation tailored to the needs of industrial and construction workflows. | Reflexivity operates primarily under a Value-Added Reseller (VAD/VAR) and Fixed Price business model, selling integrated robotics and AI software systems for industrial automation. They may also offer subscription-based services for software, maintenance, or performance monitoring. Key metrics likely include units deployed, cost savings for clients, and recurring revenue from ongoing support. | Reflexivity uses AI, robotics, and computer vision to automate labor-intensive tasks like rebar fabrication. Their tech stack likely includes Python, C++, ROS for robotics control, and cloud-based tools for monitoring and optimization. This enables precise, adaptive automation in complex industrial environments. | Reflexivity succeeded by solving a clear, high-impact problem: labor inefficiency in construction. Through AI-powered robotics for rebar fabrication, the company delivered a solution that cut costs, saved time, and addressed workforce shortages. Its focused technology, combined with strong leadership and the ability to pivot from its origins as Toggle AI, positioned it well in a slow-to-evolve industry.
By staying lean, targeting a real need, and building a scalable product, Reflexivity stood out as a smart, timely innovation in industrial automation. | /content/drive/MyDrive/engin183profiles/AIML Profile/throneholstsina_5794404_91387352_Reflexitivity.docx | AIML Profile | $190M | null | null | $48.75M | null | null | 5 | 4 | 5 | 4 | 3 | 4 | 5 | 5 | 3 | 5 | 4 | 5 |
Nate is an AI-driven fintech startup founded in 2018 by Albert Saniger. The company's mission is to streamline and personalize the online shopping experience by enabling users to purchase products from any e-commerce site with a single click. Nate aims to empower consumers by consolidating shopping activities into one seamless, private interface, enhancing convenience and security. The App simplifies online shopping by allowing users to purchase products from any e-commerce site through a single app. Users input their payment and shipping details once, and Nate utilizes AI to automate the checkout process across various retailers. The app also offers features like buy now, pay later (BNPL), curated shopping lists, and social sharing options. | https://www.nate.tech | private | Share & shop your world, all in one app. | New York City | 2018 | Renegade Partners, Forerunner Ventures, Canaan Partners, Coatue | Growth | Nate’s primary offering is to enable customers to buy products from any e-commerce webpage with one click. Users can share a product link with Nate, which then automates the checkout process, eliminating the need to manually enter payment and shipping information. The app also offers features such as creating and sharing curated shopping lists, sending gifts via text without requiring the recipient's address, and providing buy now, pay later (BNPL) options. | Time-intense online shopping experiences due to the need to manually search for products, enter payment & shipping details, and complete any necessary authorizations. | Nate solves this problem by utilizing AI to do all those steps automatically. All that needs to be provided by the User is a link of the product, and AI will take care of the rest. | Nate simplifies and personalizes online shopping by enabling users to buy anything from any store with one tap—securely, privately, and effortlessly. | Nate operates on a consumer-facing app model, earning revenue through transaction fees, affiliate commissions, and buy now, pay later (BNPL) partnerships. It monetizes by automating the checkout process across retailers, offering a seamless, all-in-one shopping experience. Nate’s affiliate commissions range from 5-15% depending on product category and industry. | The app uses machine learning algorithms and computer vision to navigate e-commerce websites, recognize checkout fields, and automatically fill in payment and shipping details. This process mimics human online behavior but is executed faster and more efficiently by AI. Additionally, Nate leverages natural language processing (NLP) to interpret user queries and personalize shopping experiences, including curated lists and gifting suggestions. | Nate was a success because it introduced a completely new way to shop online—one that had never been done before. Unlike traditional platforms that rely on merchant integrations or limited catalogues, Nate allowed users to purchase anything from any website with just one tap, automating the entire checkout process. This universal, AI-driven approach to e-commerce gave consumers an unmatched level of convenience and positioned Nate as a pioneer in merging fintech with real-time, cross-platform shopping automation.
Its innovation lay not only in the technology but also in its philosophy around privacy and simplicity. At a time when most digital commerce experiences were fragmented and filled with ads or upsells, Nate offered a clean, user-first solution that respected user data and centralized the shopping journey. This bold vision, supported by sleek design and social shopping features, made the app feel fresh and intuitive to handle. | /content/drive/MyDrive/engin183profiles/AIML Profile/wimmersimon_5793578_91388752_AI Business Profile_Simon Wimmer.docx | AIML Profile | 2024: $3.8m | ~$300m | n.a. | Series A: $38m
Seed: $8m
Pre-Seed: $1.5m | n.a. (but most likely negative) | n.a. | 2 | 4 | 5 | 4 | 3 | 3 | 4 | 5 | 2 | 4 | 5 | 5 |
Storytailor is an AI-driven storytelling platform founded in 2022 that allows users—especially children and educators—to create personalized, interactive stories. With a mission to make storytelling more inclusive, creative, and accessible, the company blends artificial intelligence with user-driven inputs to produce dynamic and customizable narratives. Storytailor’s goal is to empower creativity while also supporting literacy and emotional development in young readers through engaging digital tools. The company stands out for its screen-free storytelling options and educational focus, having already collaborated with children’s hospitals and K–12 schools. Storytailor continues to innovate in the educational tech space by offering API integrations and expanding its voice AI capabilities to support multilingual, narrated content. | https://www.storytailor.com/ | Private | “Every child deserves to be the hero of their own story.” | San Francisco | 2022 | Undisclosed seed investors | Growth, Hypergrowth, Pivot, Winddown, For sale, Bankrupt, etc | Storytailor provides a digital platform where users can create fully personalized stories by choosing characters, themes, and educational objectives. Users can download their stories or have them read aloud by AI-generated voiceovers in multiple languages. Their offerings include:
AI Story Creator
Multilingual Voice Narration
Printable and Downloadable Books
Educational Integrations (API)
Therapeutic Story Templates for Hospitals | Children often lack access to personalized and culturally relevant stories that reflect their lives and languages. | An intuitive, AI-powered platform that generates custom stories with multilingual narration and inclusive characters. | Storytailor empowers kids to see themselves in the stories they read or hear, helping boost creativity, inclusion, and literacy development in a fun, tech-forward way. | Storytailor operates on a freemium subscription model, offering free basic story generation and premium tiers for schools, families, and healthcare providers.
Subscription Tiers: $4.99/month for families, custom plans for institutions
Metrics: Over 100K stories created; 5K+ monthly active users | Storytailor uses generative AI models for language processing and voice synthesis. The platform is built on a Python backend with AI models fine-tuned for child-safe content generation. They utilize cloud services (AWS), React for the front end, and proprietary algorithms for story logic and character development. Their AI narration system includes multilingual voice cloning tech. | Storytailor is a success story in the emerging field of personalized digital education. By identifying a real gap in culturally relevant, customizable storytelling tools for children, they’ve built a platform that’s not only creative but also socially impactful. Their technology enables children to star in their own narratives, speak in their own language, and explore educational content that feels personal and inclusive. The company’s clever fusion of AI, education, and empathy has earned it recognition in both tech and academic circles. With a scalable product, strong early traction, and a clear mission, Storytailor has carved out a niche in EdTech and is well-positioned for future growth, especially as schools and families increasingly turn to AI-enhanced learning tools. | /content/drive/MyDrive/engin183profiles/AIML Profile/wusamantha_LATE_5659854_91447087_Spring2025_BusinessProfileFormat_AI startup.docx | AIML Profile | Estimated $400K ARR | null | null | Estimated $1.2M in seed funding | null | null | 4 | 3 | 5 | 4 | 3 | 5 | 4 | 5 | 3 | 5 | 4 | 5 |
Developer of humanoid robots designed to address drastic labor shortages and reduce the number of workers in unsafe jobs. The company develops commercially viable autonomous humanoid robots that lend support across manufacturing, logistics, warehousing and retail, enabling businesses to deploy and automate manual labor.
FigureAI outlines guiding principles centered on bold innovation and speed, emphasizing the need to take calculated risks in the pursuit of a commercially viable humanoid robot. They call for unwavering alignment with the mission, persistent optimism, and a forward-thinking approach that values long-term societal impact over short-term gains. Additionally, FigureAI highlights the importance of teamwork and a championship mindset, urging everyone to collaborate closely and continuously strive for excellence. | https://www.figure.ai/ | Private Series B | bring a commercially viable humanoid to the market | Sunnyvale, CA | 2022 | Arcapita, Blanck Capital, Quantum Angels, 2468 Ventures, and AJAX Capital Partners | Early Stage VC -- Private | Figure offers an integrated AI platform that empowers businesses to harness the full potential of machine learning and advanced analytics. Their suite of products delivers real-time data visualization, predictive analytics, and process automation tools designed to drive smarter decision-making and operational efficiency. In addition to their core software offerings, Figure provides expert consulting, system integration support, and ongoing technical services to ensure smooth implementation and maximize the impact of AI-driven strategies. | Figure solves the problem of turning complex, fragmented data into actionable insights. By providing AI-powered tools for real-time analytics and automation, they help businesses make faster, smarter decisions and boost efficiency. | Figure offers an AI-driven platform that combines real-time data analytics, predictive modeling, and automation to streamline decision-making. Their solution helps businesses unlock insights, reduce manual work, and improve overall operational efficiency. | Figure delivers an AI-powered platform that transforms complex data into real-time insights and automation, enabling businesses to boost efficiency and make smarter decisions. | Advertising, Fixed Price, Subscription, VAD/VAR, Channel, Subscription. Include metrics. | Figure leverages a cutting-edge technology stack combining electromechanical engineering, artificial intelligence, and robotics to develop general-purpose humanoid robots designed for human environments. Rather than building custom robots for specific tasks, Figure focuses on creating one versatile humanoid with human-like capabilities—two arms, two legs, and hands—that can perform a wide range of functions. Their technology includes advanced AI systems for real-time perception and decision-making, fully electromechanical hardware with human-equivalent range of motion and strength, and ongoing improvements in safety and scalability through volume manufacturing. This holistic approach allows Figure to build intelligent embodied agents capable of navigating and interacting with unstructured, real-world environments safely and efficiently. | Figure has gained recognition in the robotics industry by developing general-purpose humanoid robots designed to operate in complex, human environments. Unlike task-specific industrial robots, Figure’s human-shaped platform can perform a wide range of tasks, offering unmatched versatility across sectors like logistics, manufacturing, and retail.
The company’s success stems from its focus on advanced AI, safe human-robot interaction, and scalable manufacturing. By combining cutting-edge technology with a long-term vision, Figure is redefining automation and shaping the future of work. | /content/drive/MyDrive/engin183profiles/AIML Profile/xuchristine_LATE_5617342_91426493_Spring2025_BusinessProfileFormat-1.docx | AIML Profile | ~$1.5 B | n/a | N/A | $845 million | n/a | n/a | 5 | 4 | 4 | 4 | 5 | 3 | 3 | 4 | 4 | 5 | 5 | 4 |
UiPath is a global software company specializing in robotic process automation (RPA) that enables enterprises to automate repetitive tasks, streamline operations, and accelerate digital transformation. Founded with a mission to unlock human creativity and productivity by enabling robots to handle monotonous tasks, UiPath empowers businesses to optimize efficiency, enhance customer experiences, and improve compliance. Their focus is on democratizing automation through an accessible, intuitive platform that integrates seamlessly with existing systems. | www.uipath.com | Public | Shaping the future of agentic automation | New York, USA | 2005 | Accel, CapitalG, Sequoia, Coatue Management | Hypergrowth, | UiPath provides robotic process automation software products including UiPath Studio for designing automation workflows, UiPath Robots for executing these automations, and UiPath Orchestrator for managing and monitoring enterprise-scale automations. | Inefficient manual business processes. | Automation software to digitize repetitive tasks. | I think UiPath's value proposition lies in their ability to deliver significant operational cost reduction, increased accuracy, productivity enhancement, and improved employee satisfaction by focusing human resources on higher-value tasks. | Subscription-based licensing, with metrics such as annual recurring revenue (ARR), customer retention rate, and expansion revenue growth. | UiPath leverages machine learning, and cloud computing technologies. Its technology stack includes .NET, cloud-native architecture (Azure, AWS), AI modules, Computer Vision for accurate task identification, and integrations with various enterprise applications such as SAP, Salesforce, and Oracle. | UiPath has been really successful mainly because they found an important area of automation where companies needed a lot of help—repetitive tasks that take a lot of human effort and time. Their software robots (RPA solutions) make it easier for companies to automate boring jobs so employees can focus on more meaningful work. By doing this, UiPath saves companies time and money, which has made it very attractive to businesses around the world. Another big reason for UiPath’s success is their effective business model, which uses subscription-based pricing. This means businesses pay regularly to use UiPath’s software, creating a steady and predictable stream of income for UiPath. This strategy has helped UiPath grow quickly, become profitable, and attract big investors. Lastly, the leadership team at UiPath did a good job staying flexible and listening to their customers. They made sure to keep updating and improving their software to meet changing customer needs. They also expanded their technology in ways that kept them ahead of competitors. Overall, UiPath’s combination of solving real customer problems, a smart subscription model, and good leadership has made them very successful. | /content/drive/MyDrive/engin183profiles/AIML Profile/yudavid_5621219_91412816_Spring2025_BusinessProfileFormat-1.docx | AIML Profile | ~ $1.2 billion (FY 2024) | $11 billion | PATH (NYSE) $10.04
52-week range: $10 - $23 | $2 billion total raised pre-IPO | -20% (FY 2024) | null | 5 | 4 | 5 | 5 | 4 | 4 | 5 | 5 | 4 | 5 | 5 | 5 |
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