Antioch Wants to Be the Cursor for Physical AI—and Just Raised $8.5M to Try

The robotics industry faces a critical bottleneck: training physical AI systems efficiently and affordably. Current approaches—building expensive mock warehouses or surveilling workers—are neither scalable nor sustainable, constraining the deployment of autonomous systems. Antioch's $8.5M funding validates a growing industry conviction that simulation could be the answer, allowing companies to develop and validate robots in virtual environments before real-world deployment.