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Antioch says it raised $8.5 million to build simulation software that helps robot teams test and train systems in virtual environments before using real machines.
In short: Antioch has raised $8.5 million to build simulation software that helps companies develop and test robots in virtual environments.
Antioch, a New York based startup, said it raised an $8.5 million seed round and is valued at $60 million. The round was led by A* and Category Ventures, with participation from MaC Venture Capital, Abstract, Box Group, and Icehouse Ventures.
The company makes simulation tools for “physical AI,” meaning AI systems that control machines in the real world, like robots, drones, and self-driving vehicles. Simulation is like a flight simulator for robots, it lets teams practice and test without putting real hardware at risk.
Antioch says its goal is to reduce the “sim-to-real gap,” which is the problem where something works in a virtual world but fails when moved to a real warehouse, road, or farm. CEO and cofounder Harry Mellsop told TechCrunch the company is trying to make simulation feel as close to reality as possible from the robot’s point of view.
Antioch also compares its product to Cursor, a popular AI coding tool, but for robot builders instead of software developers. It lets developers run many digital copies of a robot, connect them to simulated sensors (virtual versions of cameras and other inputs), and test unusual situations that are hard to set up in real life.
Robots and self-driving systems can make expensive or dangerous mistakes, so testing them safely matters. Better simulation could help companies find problems earlier, speed up development, and reduce the need for constant real-world data collection, like driving test miles or building mock warehouses.
Source: TechCrunch AI