Foundation Model for Chemical Manufacturing Introduction

Yoneda Labs' foundation model uses machine learning and AI to analyze chemical reactions and predict optimal parameters like temperature, concentration, and catalyst selection. The company is generating its own proprietary dataset of chemical experiments to train the model. Their software platform allows chemists to input the parameters they have and the criteria they want to optimize, then generates recommendations for experiments to run iteratively. The system aims to eliminate guesswork by using statistical and machine learning techniques to efficiently search the reaction space. Yoneda Labs is also building out a robotics lab to run large numbers of experiments automatically to continue training and improving their AI model.