Bayesline is building a GPU-powered financial analytics suite for institutional investors, like hedge funds. 

Clients use our cloud deployed solution to build custom analytics in seconds, having previously been frustrated with off the shelf solutions that don't generate any alpha. What used to take weeks or months now happens near instantly. 

Sebastian, CFA (ex Bloomberg Quant & AI Research) and Misha, PhD (ex BlackRock Managing Director) met while working at BlackRock in 2016. With a combined 20 years of experience in the space they set out to change the way the industry uses analytics - from one size doesn't fit all to truly tailored to clients' needs.
Highly customizable and blazingly fast analytics for asset managers.
Title: Bayesline: Highly customizable and blazingly fast analytics for asset managers. | Y Combinator

URL Source: 

Markdown Content:


### Highly customizable and blazingly fast analytics for asset managers.

Bayesline is building a GPU-powered financial analytics suite for institutional investors, like hedge funds. Clients use our cloud deployed solution to build custom analytics in seconds, having previously been frustrated with off the shelf solutions that don't generate any alpha. What used to take weeks or months now happens near instantly. Sebastian, CFA (ex Bloomberg Quant & AI Research) and Misha, PhD (ex BlackRock Managing Director) met while working at BlackRock in 2016. With a combined 20 years of experience in the space they set out to change the way the industry uses analytics - from one size doesn't fit all to truly tailored to clients' needs.



Bayesline

Founded:2024

Team Size:2

Location:New York

### Active Founders

### Sebastian Janisch, Founder

Building blazingly fast financial analytics at Bayesline. Previously quant at Bloomberg and BlackRock building investment models running 4T in assets.



### Misha van Beek, Founder

Misha van Beek is a co-founder at Bayesline. Before Bayesline, Misha was a Managing Director at BlackRock where he led innovation on Aladdin’s portfolio risk models spanning tens of trillions in assets. He also led the research on Aladdin’s economic scenario engine, as well as investment models that run roughly $400 billion in strategic asset allocations across all major asset classes. He holds a PhD in Financial Mathematics from the University of Amsterdam.



### Company Launches

[### Bayesline - Blazingly fast analytics for Investment Managers](

**TL:DR;** We figured out how to fit custom equity factor risk models in seconds instead of weeks. And we can do this across the entire financial analytics landscape. Ad hoc thematic factor construction (think COVID), risk decomposition through time, optimized factor selection, all on the fly and in seconds.

Try out our demo [here](

Why does it matter?
-------------------

We each spent nearly a decade at BlackRock and Bloomberg, building products, leading research teams, and empathizing with frustrated clients. They sit at the cutting edge of investment research, coming up with market-beating strategies. **Yet they have to make do with a 20-year-old analytics toolkit** that current vendors offer.

We are changing that. If the AI community can fit a 300 billion parameter model, there’s no reason why a factor risk model should take a week to compute. In fact, it doesn’t. **We figured out how to do it live and in seconds, and we can do it across the entire analytics landscape**.

Who is behind this?
-------------------



Hi, we’re Sebastian and Misha.

[**Sebastian**]( CFA** built his expertise in quant research during his time as a Director in BlackRock’s Financial Modeling Group where he implemented and researched equity risk models that analyze trillions in assets.

Prior to Bayesline, he was at Bloomberg, where he incubated the next generation of customizable and actionable quant products as part of the Quant & AI Research group.

A computer scientist by training with [M.Sc]( in Finance and a passion for quant research, Sebastian spent the last 10 years leveraging the power of machine learning to challenge, innovate, and reshape how institutions think about financial modeling.

[**Misha**]( PhD** was among the youngest Managing Directors at BlackRock. He headed the portfolio risk research team that evolved Aladdin’s portfolio risk models across all asset classes.

He also headed the team that developed Aladdin’s economic scenario engine and investment models that manage roughly $400 billion in strategic asset allocations.

Misha has spent the past 10 years coupling his professional quant training with his personal interest in all things AI and hands-on engineering.

Our Ask
-------

*   **Try our our demo** [here](  
    (only email and name required)
*   **Share this post!** Please help spread the word, as you never know who it may help
*   **Connect us** with quants, portfolio, and risk managers.  
    \* blurb to copy & paste:  
    _The guys at Bayesline are ex-MD level BlackRock and Bloomberg. They are building a new class of analytics for asset managers, starting with equity factor risk and thematic factor construction. They can build fully customized and properly aligned models (custom universe, factors, exposure overrides, etc.) in seconds, far superior to what’s currently available. They deploy on the client cloud, ingest existing vendor data, and provide their engine to compute fully-fledged new risk models and analytics – all on the fly._

#### YC Sign Photo



#### Company Photo



### Hear from the founders

#### How did your company get started? (i.e., How did the founders meet? How did you come up with the idea? How did you decide to be a founder?)

We met in 2016 at BlackRock, and lived together during Covid. We both have a very strong mission to revolutionize financial analytics. We thought that the world’s most renowned institutions would be the best place to do that. But it turns out that they move too slowly and are not ready to truly innovate, especially in the age of AI. Leaving our lucrative careers was the only way to pursue our dreams.

#### What is your long-term vision? If you truly succeed, what will be different about the world?

All of financial analytics was built in the 90s on fundamentally an outdated tech stack (C++ on CPUs). The AI community has developed a new stack (Python ML packages on GPUs) that is orders of magnitude faster, both in time-to-market and run-time. Our aim is to rebuild all of financial analytics on this stack; from economic scenario simulation engines for banks and insurers to portfolio risk models for hedge funds. In the future, Bayesline will be integrated in all financial institutions, eliminating the days of waiting for calculation that tens of thousands of industry professionals have to deal with.
