Zeromatter emerges with physical AI simulation platform

Zeromatter is betting that physical AI’s most valuable infrastructure will be the virtual world where systems fail safely before deployment.

• –High-fidelity camera, lidar, radar, and infrared simulation targets the sim-to-real gap
• –One physics engine spanning multiple domains could reduce duplicated simulation work across industries
• –Planet-scale synthetic environments enable broader edge-case coverage than physical testing alone
• –Multi-agent scenarios are especially relevant for fleets, drone swarms, and autonomous traffic
• –The key proof point will be measurable transfer from simulated training to reliable real-world behavior