Antioch Secures $32M to Scale Physical AI Simulation
The New York startup aims to eliminate hardware bottlenecks in robotics development through cloud-scale simulation.
New York-based Antioch has secured $32 million in Series A funding to scale its simulation platform for physical AI. The investment aims to bring the rapid iteration cycles of software development to the robotics and autonomy sectors.
The funding round was led by Greylock, with participation from A*, Category Ventures, Box Group, and Icehouse Ventures. Antioch provides high-fidelity, cloud-scale simulation tools that allow autonomy teams to test and validate AI systems in virtual environments before deploying them to physical hardware. The company will use the new capital to expand its engineering team, accelerate product development, and deepen simulation capabilities specifically for drones, industrial automation, and general robotics.
Closing the Sim-to-Real Gap
Historically, physical AI development has been bottlenecked by the slow, expensive nature of hardware-based validation. While software AI development cycles have compressed from weeks to days, physical autonomy remains constrained by real-world testing, which is prone to costly failures and logistical delays.
Antioch seeks to close this "sim-to-real gap" by providing simulations calibrated to specific hardware. By running thousands of parallel evaluations in the cloud, developers can identify failures and optimize performance without needing a physical prototype for every iteration. Harry Mellsop, co-founder of Antioch, noted that while AI has already transformed software development, physical AI is now extending that same transformation into the real world.
Implications for the Physical Economy
Bringing "software speed" to physical AI is a critical step in unlocking the estimated $50 trillion physical economy. If simulation can reliably predict real-world performance, it removes the primary friction point for scaling embodied AI. This shift could significantly accelerate the global deployment of autonomous industrial machines and robots by reducing the risk and cost associated with physical testing.
Jason Mitura, VP of Software Development at Amazon and Ring CPO, stated that Antioch is changing the validation of complex systems by enabling a level of confidence in simulation that was not previously possible.
Future Outlook
As Antioch expands its engineering capabilities, the industry will watch whether its cloud-scale approach can maintain fidelity across increasingly complex industrial environments. The company's ability to deepen its capabilities in drones and automation will determine if simulation can truly replace the bulk of early-stage physical prototyping. For now, the focus remains on scaling the platform to support a broader range of hardware configurations and autonomy use cases.