SpatialEngine / geospatial
Geospatial
Coordinate systems, map tiles, point clouds, and large-area 3D data held together in one interactive view.
How it was built
- 01Load the tiles and the survey point cloud from SpatialDrive and set the working coordinate system.
- 02Clip to the area of interest and recolour by an attribute already on the points.
- 03Expose layer and camera controls so a non-specialist can move through the site.
Map tilesPoint cloudsMeshes
SpatialEngine / robotics perception
Robotics perception
Time-series perception data, trajectories, meshes, and sensor output explored through a single viewport.
How it was built
- 01Stream the per-timestamp point cloud and attach the recorded trajectory.
- 02Scrub through time so the scene, the path, and the sensor output stay aligned.
- 03Lock the camera to the sensor frame to inspect what the system saw at each step.
Point cloudsTrajectoriesSensor data
SpatialEngine / infrastructure
Infrastructure
Design models, reality scans, telemetry, and site context combined into the interface an engineering team needs.
How it was built
- 01Load the model and overlay the scan in the same coordinate system.
- 02Join the telemetry series onto the objects it belongs to.
- 03Run clearance and difference checks, then surface the results as an inspection panel.
MeshesPoint cloudsSensor data
SpatialEngine / subsurface
How it was built
- 01Load the volume and the well paths, then cut sections from Python.
- 02Compare two stored versions of the model to see what moved.
- 03Step through the stored states to review how the interpretation developed.
VoxelsSGYTrajectories
More demos
Built something with SpatialEngine?
This gallery grows with the work people build on top of the engine, including applications built outside our team. Send us what you made and we will add it here with your build notes.
Start from the demo closest to your workflow
Tell us the workflow and bring a representative dataset. We will show you the prepared application it starts from.