SpatialEngine for Python

Build custom spatialapplications withAI-assisted coding

Python in. Interactive application out.

Turn massive spatial data into fast interactive software without needing a specialist graphics or spatial infrastructure team.

  • Python client
  • Browser viewport
  • Server runtime
SpatialEngine / live viewport
PythonSpatialEngineApplication
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Prepared demos

Start with a workflow, then build the application

Use a prepared interactive viewport and interface as your starting point. Adapt it from Python with AI coding tools, then make it fit the work your users need to do.

SpatialEngine / prepared application

Geospatial

Coordinate systems, map tiles, point clouds, and large-area 3D data in one interactive application.

End-to-end system

One system, from stored data to the application your team works in

SpatialEngine is the application layer your team sees. SpatialDrive is the infrastructure layer you run. Together they replace the viewer, the format converters, the tile server, and the bespoke pipeline that usually sit between a spatial dataset and the people who need it.

Application layer

SpatialEngine

Browser, desktop, or server
Python clientScenes, queries, and math as small statements
Spatial + volumetric computeTransforms, intersections, change through time
Interactive viewportBrowser, desktop, or server, one runtime
Your interface and agentsThe workflow your users actually drive
Infrastructure layer

SpatialDrive

Deployed in your environment
Object storeClouds, meshes, voxels, tiles, telemetry
Version historyEvery state kept and recoverable
AuthorizationYour identity provider on every request
Streaming APIOnly what each view needs
Ingests the formats you already have
LASglTFSGYPoint cloudsMeshesVoxelsMap tilesSensor data

Bring us the spatial workflow you need to build

Share the workflow and a representative dataset. We will build a focused prototype that shows how SpatialEngine fits.