Radical AI
Technological breakthroughs happen in materials. AI transforms the bottleneck into a competitive edge.


















In self-driving labs, automation is a tiny part of the challenge. Integration is what drives invention.
Prompts become materials.
Scientists input material performance goals, then AI-generated experiments go directly to the self-driving lab, which continues refining results until it meets those goals.
Grounded in reality.
Simulations only sometimes are what they seem. With software that connects directly to a self-driving lab, every idea is put to the test.
Data drives discoveries.
Gathering every dimension of data in a standardized format speeds analysis. Feeding it back into the AI gives it superpowers.
Done in weeks, not years.
The 10-year, $100 million process of discovering materials has held back too many technologies.