Spatial AI and 3D reconstruction for real operations.
Inoetic builds spatial systems that turn ordinary photos and video of a place or asset into a navigable, measurable 3D record. The core technique is 3D Gaussian splatting, a real-time reconstruction method that produces photorealistic 3D from normal camera capture. As with our other work, the goal is not a demo. The goal is a 3D asset that feeds inspection, documentation, and operational decisions.
Discuss a spatial AI projectWhat is 3D Gaussian splatting?
3D Gaussian splatting reconstructs a scene as millions of small 3D Gaussians learned from a set of overlapping images or video frames, then renders that scene in real time from any viewpoint. Compared with older radiance-field methods such as NeRF, it trains faster and runs interactively on commodity hardware. Compared with traditional photogrammetry, it captures fine detail and view-dependent appearance more faithfully. That makes it a practical way to capture spaces and assets without specialist scanning rigs.
What we build with it
Digital twins & as-built documentation
A faithful 3D record of a facility, site, or asset that teams can revisit, share, and compare over time instead of relying on photos and memory.
Asset & infrastructure inspection
Reconstruct façades, plant, equipment, and structures so condition can be reviewed remotely and changes tracked between captures. This is our video intelligence work extended into three dimensions.
Site & construction capture
Periodic 3D capture for progress verification, coordination, and dispute records, delivered in a viewer stakeholders can actually open.
Survey & measurement
Scaled reconstruction with control points so distances, clearances, and layouts can be checked from the capture, with clear accuracy expectations set up front.
Training simulation & synthetic data
Capture a real environment once and generate the views and scenarios needed to train other computer vision models, reducing reliance on manual data collection.
Walkthroughs & spatial records
Realistic, navigable walkthroughs of properties, retail spaces, and venues for remote review and stakeholder sign-off.
How Inoetic delivers it
We start from the operational question, not the camera. A typical engagement runs from capture planning, through reconstruction and clean-up, to optional segmentation and measurement, and finally delivery. Delivery is a web viewer, an exportable asset, or an integration that pushes findings into existing inspection and reporting systems, where this work overlaps with our workflow automation practice. Scale, accuracy, and review boundaries are agreed before capture, so the result is usable rather than just impressive.
What to know before you capture
Capture quality drives everything
Coverage, overlap, lighting, and steadiness of the source footage set the ceiling on the final reconstruction. We plan capture rather than reconstruct whatever exists.
Hard surfaces and motion
Reflective glass, water, and moving subjects are genuinely difficult. We flag these up front and design the capture and method around them.
Measurement needs scale
A reconstruction is only metric if capture is scaled with references or control points. We decide whether measurement is in scope before, not after.
Related services
Video intelligence systems
Computer vision on CCTV and field footage for monitoring, detection, and reporting. The natural partner to 3D capture.
Workflow automation
Push 3D findings, inspection results, and reports into the systems your team already uses.
Example deployments
The deployment patterns Inoetic designs and builds across vision, spatial, and workflow systems.