Antioch, a New York startup that builds simulation software for robots, drones and other autonomous machines, has raised a $32m Series A. Greylock led the round. The money goes on the idea that physical AI teams should test their systems in the cloud before anything touches hardware.
Antioch announced the round in a blog post on 8 September. A*, Category Ventures, BoxGroup and Icehouse Ventures also took part, along with angel investors. Together with an $8.5m seed round in April, Antioch has now raised $40.5m. Greylock partner Saam Motamedi joins its board, the firm said in its own post. Antioch did not disclose a valuation for the new round.
The bottleneck Antioch is selling against
Software teams can change code, run tests and try again thousands of times a day. Robotics teams mostly cannot. They rely on test sites, recorded datasets, hardware rigs and fleets run by hand, which are slow and costly to repeat.
Antioch says its platform closes that gap. It builds a simulation of a customer’s system, including its hardware, sensors, software and models. It then calibrates that simulation against real-world data. Teams can run thousands of test scenarios in parallel, find failures and check fixes before a change reaches a real machine.
