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Your inspectors are filling in hundred-question forms from scratch.
Vision is where inspection actually gets done. It replaces the spreadsheet-and-folder workflow with one place to review imagery, mark defects, and complete condition forms, with computer vision doing the first pass so an inspector is confirming findings rather than starting from a blank form.
Five stages, one evidence trail
Three jobs an inspection programme cannot do at volume without help.
- The form fills itself in
A condition and inventory form runs to roughly a hundred questions. Vision pre-populates it from what the models actually detected, so the inspector is checking answers rather than authoring them. The human stays in the loop on every one.
- Draw on the image to raise a defect
Mark the object directly on the photograph, then set priority, facility, damage type and the action required. The evidence and the finding stay attached to each other permanently.
- Pixel-level overlays, not bounding boxes
Segmentation outlines every sub-assembly on a pole, so a reviewer can see precisely which component the model is talking about instead of guessing inside a rectangle.
- See what changed since last time
Side-by-side comparison against the previous inspection of the same angle, and automatic flagging when a component appears, disappears, or a defect gets worse.
- Reviewers see only what needs them
High-priority findings bubble to the top of a dedicated reviewer queue. Inspection leads spend their time on judgment calls, not on scrolling.
- Runs at inspection-programme scale
The inference layer underneath is built for millions of images: GPU-backed, failure-tolerant, re-runs what fails, and portable across cloud providers so cost stays negotiable rather than fixed.
- 200xFaster than manual inspection
- 80%Reduction in inspection time
- 2 weeksEarlier to fixing high-priority defects
- 30%Fewer errors from fatigue and repetition
The people who feel the inspection backlog first.
- Inspectors
One screen instead of four, and a form that starts mostly answered
- Inspection review leads
A queue of only the findings that need a human decision
- Utility data science teams
Their own models running in the same pipeline, results in the same place
Not a replacement for your inspectors
Every AI finding is confirmed by a human. The models change how much of the day is spent typing, not who is accountable for the judgment.
Not a GIS
Your GIS stays the system of record for topology. Vision sends findings to it.
Not locked to our models
Bring your own. If your data science team has a better defect model, run it here alongside ours.