AI Models Cannot Safely Guess Physics - Fast, heavily approximated GPU simulators are excellent for mass data generation but fail at electromechanical reality. Deploying unverified VLA (Vision-Language-Action model) policies directly to hardware results in silent physical failures, unpredictable contact dynamics, catastrophic hardware damage, and endangers human lives.
The Final Sim-to-Real Bridge - Carbon's definitive edge in Physical AI lies in its high-fidelity, deterministic simulation that perfectly bridges the gap between the virtual and physical worlds. It eliminates the "reality gap" by replicating real robot behavior with class-leading spatial and temporal accuracy. Read more about this in our technical papers at the bottom of this page.
Applications
Carbon Data Validation & Ahead-of-Time Filtering for Objects in Motion
Key Tech Specs
Carbon - Proven in Nuclear. Perfected for AI!
It’s just as remarkable that Carbon slots neatly into your existing graphics pipeline at
60Hz, as it is that it runs soft real-time robotics control at 3kHz.”
Toia, on running Carbon in production
Since 2016, Carbon is trusted in fields like nuclear remote handling (including environments like UKAEA and RAICo) and advanced medical/surgical simulations, where deterministic accuracy, sub-millimeter non-convex mesh collision, and strict physical limits are matters of operational safety. By deploying Carbon as your data validation and runtime safety guardrail, you are integrating a battle-tested engine capable of protecting your multi-million dollar hardware assets from catastrophic edge-case failures.
Demos
Technical Papers