Physical AI and 3D capture data.

Real spaces as data for machines.

Physical AI (robotics, autonomous systems, and simulation) increasingly trains and tests against digital reconstructions of real environments. A robot learns to navigate a warehouse, a planner simulates a facility, a model is validated against a faithful copy of a real space. All of it needs spatial data that reflects the world accurately.

Handheld LiDAR is one practical way to capture that data. A walk through a building produces a measurable point cloud; the same space can become a mesh or a photorealistic 3DGS scene, exactly the kind of reference simulation and training pipelines consume.

Vendors like NVIDIA build tooling in this space. Volumet is not affiliated with them. The relevant point is upstream: before any of that tooling runs, someone has to capture the real environment, and that is where a scanner rental fits.