Yoneda Labs
Foundation Model for Chemical Manufacturing
Yoneda Labs is active in the b2b space based in San Francisco, CA, USA.
Profile
Yoneda Labs provides software to help chemists optimise reactions. When chemists make a drug or a material, we help them figure out the best reaction parameters such as temperature, concentration and catalyst.
When Jan was working at chemical labs, he experienced the struggle of spending weeks guessing reaction conditions. We then started experimenting with ML to speed up the process.
Now, as a team of three friends from the University of Cambridge, we’ve spent the last month combining our domain expertise in Computer Science, Machine Learning and Chemistry to develop state of the art models for reaction optimisation.
Although ML is becoming well established in other fields, current chemical models generalise poorly and require lots of programming experience. We make our models easily accessible to chemists in the lab.
Finding the right conditions quickly allows pharmaceutical companies to test more drugs, and finding better optima makes manufacturing process cheaper and more environmentally friendly.
Its activity falls under b2b; the profile below is assembled from public directory data.
Its base of operations is San Francisco, CA, USA.
The company is listed at the Winter 2024 stage of development.
The company reports a headcount in the 3 range.
Directory analysis
Yoneda Labs develops machine‑learning software that helps chemists optimize reaction conditions—such as temperature, concentration, and catalyst selection—by predicting the best parameters for drug or material synthesis. The startup, founded by a small team from Cambridge, focuses on creating a foundation model tailored to chemical manufacturing workflows. Its platform aims to reduce the time and expertise needed to design efficient chemical reactions.
Positioning: As a very early‑stage B2B company, Yoneda Labs targets the niche intersection of computational chemistry and industrial R&D, positioning itself against traditional experimental approaches. While its technology promises significant productivity gains, it remains to be seen how well the models generalize across diverse reaction classes and how quickly it can scale to larger enterprises.
Note: Yoneda Labs offers ML-driven reaction optimization tools for chemists.
Auto-generated directory analysis from public data · updated 11 Oct 2026. Informational only, not investment advice.
| Sector | B2B |
|---|---|
| Headquarters | San Francisco, CA, USA |
| Country | USA |
| Employees | 3 |
| Stage | Winter 2024 |
Website: www.yonedalabs.com
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