Persistent World Intelligence for Physical AI
Build AI systems that understand, remember, and act within a spatially persistent digital twin of the real world.
- 3D scene reconstruction (Gaussian splats / spatial maps)
- Persistent spatial memory of environments
- AI agents reasoning over physical space
- Robot navigation grounded in spatial context
Core pipeline:
Reality Capture → Spatial Reconstruction → Memory → AI Reasoning → Robot Action