joelschw

We're building an AI-native platform that turns physics simulations from days-long jobs into millisecond inference. Think: training deep learning surrogates on CFD, FEA, thermal data, and Large Physics Model (LPM) frontier research so engineers can explore thousands of design variants in a single session — across aerospace, semiconductors, energy, and automotive.

You should have the scar tissue of running agents in production and strong opinions on what the future looks like.

We're ~170 people, raised $135M Series B, and backed by General Catalyst, Atomico, Siemens, and Applied Materials. The team includes people from F1, SpaceX, Google, Palantir, and Tesla.