Creating new functional proteins, such as industrial enzymes or therapeutic peptides, has traditionally been an inefficient and costly ‘trial-and-error’ process. Biotech companies painstakingly make random mutations of existing proteins, test them, and repeat this cycle until success.

AI ‘de-novo’ protein design promised a breakthrough by generating entirely new proteins from scratch. However, it severely falls short due to a lack of comprehensive data, resulting in poor accuracies that make it unfit for industrial use.

At AminoAnalytica, we offer a new approach: accelerated adaptation. Our AI software rapidly predicts protein properties in silico, eliminating the need for thousands of lab tests. This enables us to enhance existing proteins for better industrial performance, transforming the traditional ‘trial-and-error’ method into an ultra-high throughput and intelligent process.
AI for enhanced functional proteins
Title: AminoAnalytica: AI designed enzymes for health and nutrition | Y Combinator

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### AI designed enzymes for health and nutrition

Creating new functional proteins, like enzymes or therapeutic peptides, has traditionally been an inefficient, costly trial-and-error process. Biotech companies repeatedly mutate and test proteins, hoping for success. Generalist AI protein models, like AlphaFold3 and ESM3, are built work across all fields but lack the precision needed for industrial applications. At AminoAnalytica, we build tailored models for specific tasks. This approach eliminates the need for thousands of wet lab experiments, speeding up breakthroughs in areas like drug development and industrial enzymes—without sacrificing accuracy.



AminoAnalytica

Founded:2024

Team Size:3

Location:San Francisco

### Active Founders

### Abhi Rajendran, CEO & Co-founder

I previously worked at the Mercedes Formula 1 Team and now work at the intersection of AI and Protein Design - there's a funny story in there somewhere.



### Matteo Peluso, Founder

Compute credits are all you need



### Adam Wu, Founder

Recent engineering graduate from Imperial College London. Worked in product design, manufacturing, and industrial labs. Shameless plug: check out 'adwuu' on spotify for a good time



### Company Launches

[### 🧬 AminoAnalytica – Next generation proteins engineered with \*protein\* language models](

Hey everyone – it’s [Abhi Rajendran]( [Adam Wu]( and [Matteo Peluso](

**Tl;dr**: just look at the pictures ;)

**💞 The A(mino) Team**
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👨🏾 **Abhi Rajendran** – From Imperial College London to the Mercedes F1 Team, Abhi builds AI tools in data-intensive environments. AminoAnalytica was inspired by his computational bio master’s project and was the top AI x Robotics venture from Imperial in 2024.

👦🏻 **Adam Wu** – With experience in academic and industry wet labs, Adam is now building his own. He has a background in materials science, tissue engineering and biosensing as a Thermo Fisher Scholar from Imperial.

👱🏼‍♂️ **Matteo Peluso** – Bioinformatics PhD from the University of Zurich. His skills in biology, machine learning, and software development tie up everything seamlessly.

👨🏻‍🦱 **Dr. Stefano Angioletti-Uberti** – Senior lecturer at Imperial, specializing in modeling biological and soft matter systems. He ensures models are based on the latest scientific principles.

**❌ Problem: better proteins are needed to accelerate global innovation**
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*   Industrial and pharma companies prefer to use enzymes and peptides over harsh chemicals as they are more specific and sustainable.
*   However, natural proteins often lack stability, efficiency, or specificity for their desired applications leading to poor performance
*   Improving these proteins has been a costly and inefficient 'trial-and-error' process, where biotech companies randomly mutate existing proteins, test them, and repeat until success.



**✅ Solution: AminoAnalytica’s protein adaptation platform, powered by PLMs**
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*   Like how ChatGPT understands human language, our **"protein language models" (PLMs)** understand biology and can optimize proteins for industrial and therapeutic use.
*   This allows us to perform in-silico protein property prediction, eliminating the need for thousands of lab tests.
*   We’re transforming the traditional ‘trial-and-error’ method into an ultra-high throughput and rational process.



**🤝 Any industry working with proteins can benefit from our tech**
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Currently, we’re working on:

*   **Aquaculture feed** → enzymes for maximizing fish feed nutritional efficiency
*   **Pharmaceuticals** → peptide drugs with improved stability and specificity
*   **Climate tech** → enzymes for eco-friendly carbon capture
*   **Consumer goods** → safer enzymes for everyday products



**🐡 Get in touch with us!**
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*   Upvote/share this post with your network and help spread the word!
*   If you (or anyone in your network) are as excited as we are about next generation industrial proteins and would like to learn more about what we’re doing, email us here - [founders@aminoanalytica.app](mailto:founders@aminoanalytica.app)
*   We’re also looking to expand **our advisory board** in the areas of aquaculture, fish testing, and feed manufacturing!


