Robots should earn deployment in simulation.

Experience must be manufactured

There is no archive of physical work the way there was an internet of text. The teams that win physical AI will be the ones who can produce trustworthy experience at scale, not the ones waiting to collect it.

The floor cannot be the test bench

Real-world testing is too slow, too expensive, and too dangerous to iterate against. Autonomous driving proved the pattern: thousands of simulated miles for every real one, and the real ones reserved for confirmation.

Fidelity is three problems at once

A simulation is only worth testing in if it looks right to a camera, behaves right on contact, and matches the specific site the robot will work in. Two out of three produces confident, wrong answers.

Trust is proven, not claimed

The only honest measure of a simulator is whether it predicts the floor: the policy that passes in sim passes in reality, and the one that fails, fails the same way. That is why evaluation sits at the centre of what we sell.

Coverage compounds

Every capture, run, and field result feeds the same pipeline. Failures become scenarios, successes confirm the physics, and the worlds get more accurate with use. Infrastructure, not a services engagement.