
YonedaLabs uses AI to help chemists identify optimal reaction conditions, reducing experimental time, cost, and waste. The company offers a B2B SaaS suite (Yoneda Predict, Optimize, and Analyze) that applies machine learning models to experimental and historical reaction data to recommend temperature, concentrations, catalysts, and other parameters. The software automates data analysis and supports scaling from lab experiments to manufacturing workflows. Typical customers include chemical manufacturers, pharmaceutical developers, and agricultural chemistry firms seeking faster process development and more efficient production.

YonedaLabs uses AI to help chemists identify optimal reaction conditions, reducing experimental time, cost, and waste. The company offers a B2B SaaS suite (Yoneda Predict, Optimize, and Analyze) that applies machine learning models to experimental and historical reaction data to recommend temperature, concentrations, catalysts, and other parameters. The software automates data analysis and supports scaling from lab experiments to manufacturing workflows. Typical customers include chemical manufacturers, pharmaceutical developers, and agricultural chemistry firms seeking faster process development and more efficient production.
What they do: AI SaaS for predicting and optimizing chemical reaction conditions and analyzing LCMS data
Founded: 2023
HQ: San Francisco, California
Funding: Seed (Apr 2024), reported $4M total
Notable backers: Y Combinator, Khosla Ventures
Chemical reaction optimization and analytical data automation for process development and scale-up.
2023
Biotechnology
4000000 USD
Reported participation from Y Combinator and approximately 11 investors including 468 Capital, 500 Emerging Europe, Alumni Ventures, Fellows Fund, KAYA, Springboard Health Angels, Unpopular Ventures, Yoni Goldwasser, e2vc
“Backed by prominent early-stage investors including Y Combinator and Khosla Ventures”