Physical AI teams should be able to test a new release the way software teams run a test suite.

simulation must become trustworthy enough to act as a release gate for physical AI.

@antiochrobotics just raised a $32 mn Series A to narrow that gap.

The company is building simulation infrastructure where the scenario itself becomes a software object.

You can write a test locally in Isaac Sim or Isaac Lab, define parameter distributions, then fan that scenario out across cloud GPUs. More importantly, those simulations can be connected directly to CI/CD.

In robotics, the bug may depend on a weird combination of wind, lighting, geometry, sensor noise, human traffic, or contact dynamics. Turning that exact physical state into a repeatable test is much harder.

But with simulation, when a robot fails in deployment, you can reproduce the same failure in simulation, vary the conditions around it, and keep those tests for every release after that.