Confluence Labs

AI performs poorly in scientific and engineering domains where collecting training data is sparse or prohibitively expensive, slowing discovery.

It builds AI models that design highly effective experiments and learn efficiently from limited existing data in data-sparse domains.

Researchers and R&D teams in academia and industrial labs working on molecules, materials, and physics experiments.