The Perfect Canvas for Generative AI

Most people think of Earth as this fixed thing. Roads where they are, buildings locked in place. But what if AI agents could reshape their environment in real-time? What if they could build new infrastructure, modify terrain, and test scenarios while working with real satellite data, actual elevation models, and live OpenStreetMap feeds?

That's TerraLab. We've spent over a decade building a planetary-scale geospatial editing platform with accurate physics simulation. Drive vehicles with real gravity, zoom from satellite view down to centimeter-scale detail like an ant's world, all adapting in real-time.

Why Generative AI Needs This

Here's what's missing from current AI training environments: real-world physics at scale. Game engines give you tiny worlds. Simulators give you simplified physics. Google Earth gives you static data.

TerraLab gives AI agents a procedurally editable Earth with accurate physics simulation. Build a road, and vehicles can actually drive on it with proper gravity. Add infrastructure, and the physics engine responds instantly. Everything scales from global positioning to microscopic detail without breaking.

Current Capabilities

• Accurate physics simulation: Real gravity, vehicle dynamics, and collision detection at planetary scale
• Infinite zoom precision: From satellite view to centimeter-scale detail with real-time adaptation
• Live geospatial editing: Add roads, modify buildings, reshape terrain with immediate physics response

The Generative AI Future

Here's where it gets exciting. We're integrating generative AI (world models, video synthesis, procedural generation) directly into TerraLab's physics engine. AI agents won't just navigate environments; they'll create them, test them, and evolve them in real-time.

Picture AI agents designing optimal road networks by actually building and testing them with real vehicle physics. Or training autonomous systems by generating thousands of realistic scenarios (weather conditions, traffic patterns, infrastructure changes) all grounded in actual geospatial data and accurate physics.