AI labs are patching together game engines with satellite data. The accuracy isn't there. Or they use geospatial viewers, but agents can't interact or modify anything.

Synthetic training data stays expensive and slow to generate. Edge cases go uncovered. Systems that work in simulation break in reality.

Visualization or modification. Never both.

TerraLab is the first planetary-scale infrastructure that's both geospatially accurate and editable in real time.

Build scenarios. Alter terrain. Test autonomous systems on real Earth data from NASA and OpenStreetMap at centimeter-level detail. Generate infinite variations for training.

A decade of R&D and exploration built the foundation. Now we're turning that infrastructure into what AI requires: interactive, accurate, planetary-scale environments.

What changed isn't the technology, it's the demand. Embodied AI, spatial intelligence, autonomous systems all need interactive environments grounded in real Earth data. Now.

We spent years exploring and building the foundation. The core technology emerged from R&D, curiosity, experimentation. Now the world needs what we built. That infrastructure becomes the foundation for training spatial intelligence.

Stream from planetary scale to centimeter detail. Edit terrain in real time. Generate scenarios on demand.

NASA and OpenStreetMap data transformed into interactive environments with RGB textures, elevation, and semantic layers. Physics. Lighting. All grounded in real geospatial accuracy.

Modular foundation. We build AI training modules, synthetic data pipelines, and vertical solutions fast without rebuilding core infrastructure.