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Spatial AI

3D Gaussian splatting for inspection, not just rendering.

Published 2026-06-25 · Inoetic

Most things you have seen built with 3D Gaussian splatting are flythroughs: a smooth, photorealistic camera path through a captured space, set to music. They are genuinely impressive. They are also the least operational thing the technique can do. The render is the demo. The asset is the point.

3D Gaussian splatting reconstructs a real place or object from ordinary photos and video, in real time and in high fidelity. The interesting question for an operations team is not "can we fly through it" but "what can we now check, measure, or track that we could not before."

What changes when the output is an inspection

A flythrough answers "what does this look like." An inspection answers "what is the condition, and what changed." That shift sets different requirements. The capture has to be repeatable so two visits can be compared. The reconstruction has to be scaled if anyone wants to measure a crack, a clearance, or a deflection. And the result has to land somewhere a person actually works, not in a viewer nobody opens twice.

Three conditions that turn a 3D capture into an inspection

Where it meets the rest of the system

This is the same discipline behind our video intelligence work, moved from a single camera feed to a whole space. And like that work, the value compounds when findings flow into the systems a team already uses, which is where it meets workflow automation: a ticket raised, an inspection record written, a change flagged between captures.

3D Gaussian splatting is a real capability upgrade for anyone who inspects, documents, or measures physical environments. The flythrough is just the trailer. For how Inoetic builds these systems, see spatial AI and 3D reconstruction.