SynPlanet · Geospatial AI
Rebuildingthe planetfor AI
We turn real-world data into georeferenced 3D worlds that simulators, engines and AI models can use. Generate any place, build it for simulation, and ask it questions.
This is not drone footage. Every building, road and tree in this view was generated by SynTerra from satellite imagery and open map data, rendered in real time in Unreal Engine.
- Places built
- 20
- Continents
- 4
- Simulators & engines
- 5
- Export from SynTerra
- OpenUSD
01 / How it fits together
Three products,
one pipeline
Each one works on its own. Together, they turn a real place into a simulation-ready world, then give you answers about it.
02 / What you get
A real place you can drive, fly and train in
A synthetic environment is a 3D copy of a real area. Terrain, buildings, roads and vegetation sit exactly where they are on Earth, so you can plan, test and change it before anything happens on the ground.
Six layers, one georeferenced world
Each environment combines a generated base with the enrichment your project needs. Pick a layer to see its source and what we add.
- Generated base
- Footprints and heights from Overture Maps.
- Enriched
- Roof shapes, facade materials, key landmarks modelled.
Canberra, Australia · the same 6 × 6 km in every layer
03 / In motion
Generate it, drive it,
fly it, plan it
Real-time captures · no post-production
04 / Who it's for
Built for teams that simulate
05 / Proof
Twenty places,
four continents
Real places, real deliverables, from suburbs to whole cities. Pick a pin to see what we built there.
06 / Company
The team behind it
Geospatial, simulation and AI engineers with a track record on national synthetic environment programmes. We build the tools, we build the worlds, and we teach machines to read them.
Since 2021 · Offices in Dallas, Sydney and Paris
More about SynPlanet
