Every drug, material, or agrochemical starts with the same challenge: you need a molecule that doesn’t exist yet. And still today, making that molecule is painfully slow. Chemists spend weeks synthesising compounds before discovery work can even begin. In a world where AI is transforming biology, chemistry remains one of the biggest bottlenecks.
Onepot has built a different kind of lab. They combine artificial intelligence and robotics to automate one of the most time-consuming steps in drug development: chemical synthesis. Chemists begin by submitting a target molecule – or selecting one from Onepot’s digital library of 3.4 billion possible compounds, most never synthesised before. From there, their AI model, Phil, takes over. Phil can write protocols, operate lab tools, analyse LC/MS results, detect byproducts, and design new experiments on the fly. In just one month, Phil runs more reactions than a typical graduate student would during an entire PhD.