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Yoneda Labs

Foundation Model for Chemical Manufacturing

y-combinatorWinter 2024🇺🇸 San Francisco3 people
Daniel Vlasits
Jan Oboril
Michał Mgeładze-Arciuch

Daniel Vlasits, Jan Oboril +1 · 3 co-founders

2024Founded
Team
3
current
Co-founders
3
current
Stage
Founded
Source for Founded
Profile coverage5 of 8 · missing Signals, Customers, Stack / tools · last run 8/10/2026

About

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.

3 founders