Series A · AI
Antioch raises $32M Series A for physical AI simulation
Its cloud platform can run thousands of parallel evaluations against customer hardware and operating conditions.
Testing failure modes before the real world
Teams can model their robots, sensors and software in repeatable scenarios, then run parallel trials to expose failures and regressions. Antioch calibrates simulations to customer hardware and can feed field results back into the model, helping developers improve test coverage across robotics, drones and industrial automation before deploying changes on physical systems.
Use of funds
Accelerate product development
Expand engineering team
Deepen simulation for robotics, drones, industrial automation and fixed-perception applications
Funding history
Series A · This round$32M