Step 01 / 05Collect
Collect real photos
Your customers' photos, our real-world set, or both. Every photo is labelled by a person first.
Obvious defectBorderlineClean
Independent reliability testing for vision AI
Your defect AI looks great in the demo. I test it on the photos real customers take: dark, shaky, compressed. Then I show you, with numbers, exactly where it breaks.
Scroll to walk inside
Outside
From the street it's a clean house.
Two storeys. Fresh render. Warm windows. Nothing to report.
Up the stairs
Even the stairwell looks perfect.
The prints on this wall are site photos. Keep an eye on them.
Under raking light
Hairline cracks. Damp behind the paint.
Light across the wall at a low angle, the way inspectors look. Now it shows.
Look up
A stain the chandelier hides.
A demo is the view from the street. A model's mistakes hide until someone looks closely. That's our job.
Step 01 / 05Collect
Your customers' photos, our real-world set, or both. Every photo is labelled by a person first.
Step 02 / 05Condition · dark
Each photo gets darker versions, like the light in a dim stairwell or an unlit basement.
Step 03 / 05Condition · shake
Walking shake, cheap sensors and WhatsApp compression. What happens to every site photo before your model sees it.
Step 04 / 05Score
Your model sees every version. Its answers are checked against the human labels, defect by defect and box by box.
Step 05 / 05Calibrate
Every photo becomes a point of light. On the gold line, the model's confidence can be trusted. Each thread shows how far a point is from it.