From Video to GIS

"Data as a service" is a tidy phrase, but it doesn't tell you much about what actually happens to your video. So let's make it concrete. Here's the journey of a single inspection video, from the moment it leaves your truck to the moment a defect appears on your map.

Step 1: Upload, in whatever format you've got

It starts with the video. The footage might come from your in-house crew or a contractor, shot on whatever camera and in-truck software they happen to use. That's fine. The video gets uploaded as-is, no special equipment required, no need to standardize your fleet first. If you can record it, you can submit it.

Step 2: The AI codes it, frame by frame

Once it's in, computer vision goes to work. It reviews the footage the way a trained inspector would, but without getting tired and without a bad day, watching every frame for cracks, fractures, roots, deposits, infiltration, and the rest. Each defect it finds gets identified, located by distance, and assigned the proper NASSCO PACP code and grade. The difference is consistency: every video gets the same careful, identical treatment.

Step 3: Certified experts review the results

This is the step that makes the data trustworthy. The AI's output goes through QA/QC by NASSCO-certified technicians, who verify the coding and catch the edge cases that warrant a human eye. You get the speed of automation and the judgment of experienced professionals, rather than having to choose between them.

Step 4: Delivered in formats that work with your tools

The finished data comes back in standard, interoperable formats, ready to drop into your existing GIS and asset management systems. No proprietary viewer, no new platform to learn. The data plays nicely with what you already use.

Step 5: It becomes part of your digital twin

Finally, every coded defect gets placed on a map, exactly where it sits in your system. One video at a time, you're building a living, map-based view of your entire network, a digital twin you can use to prioritize work, plan capital projects, and show decision-makers what's really happening underground.

Why the workflow matters

The whole point of this pipeline is that the hard, slow part, reviewing and coding footage, stops being your bottleneck. You keep collecting video the way you always have. What you get back is clean, consistent, mapped intelligence you can actually act on.

Want to watch your own footage make this trip? Schedule a demo.