Technical demonstrator
AIRacing
A physics-heavy lab for real-time evolution, perception, and control.
What it proves
Demonstrated in a real-time environment
AIRacing is designed to pressure-test NFG under continuous feedback and tight latency budgets.
Continuous evolution
Agents adapt inside the live simulation loop rather than offline retraining.
GPU-first perception
Raycasting and vision features are generated on the GPU for immediate decision making.
System orchestration
Telemetry, logging, and visualization provide full transparency during runs.
System highlights
Why this environment matters
AIRacing integrates NFG across sensors, neurodynamics, evolution, and control.
- High-fidelity physics with rich sensor signals
- Real-time perception and decision pipeline
- Evolution orchestration for large agent populations
- UE5-native compute integration
Access and builds
Private access for diligence
AIRacing builds and technical walkthroughs are available on request.
Contact us for availability, build targets, and scope.