
Spatial Intelligence
Teams ask about accuracy for weeks. They ask what the map actually returns on the morning they start integrating.
Every processed MultiSet map publishes a mesh and a point cloud. Ask at upload and it also publishes a Gaussian splat and a navigable 360° tour of the same space.

Those are ordinary files. GLB opens in Blender. PCD opens in CloudCompare. None of it needs our renderer.
Three of the four sit in the map’s local frame: origin at (0, 0, 0), +Y up, metric scale. A VPS query returns poses in that same frame, so anything you align to the mesh in the editor lands in the same physical spot at runtime.
The point cloud is the exception.

One conversion works across every map in your account. Cheap once you know. Expensive the first time.
The splat and the tour are opt-in, and the flag is read once, when the map is created.

That one costs a re-upload rather than a settings change, so it is worth deciding before you press go.
Localization runs on the map’s feature data. The output assets are the visual half, and they are yours: preview them, download them, load them into your engine, your BIM tool, or a viewer you write yourself.

We hold the coordinate frame. What you build on it belongs to you.
The full input-to-asset matrix, including which capture types produce which assets and which cannot, is on map outputs.