Vision & 3D
A photo of the shelf is worth a morning's walk.
Some work starts with looking: is the shelf right, is the site on schedule, what will this flat actually look like? It is slow because a person has to go and see.
start at the top
What this produces, shown with sample data.
The short version
We build systems that look for you. Store staff photograph shelves on a phone and get a worklist of gaps by morning, ranked by the sales they cost. Buyers open a link and walk through a flat built from the architect's drawings before it exists.
Both of those are live. Site progress from photos is next, because it feeds the reports developers already have to file.
Where it runs
Where this kind of tool runs today, and where we'd build it next.
| Industry | Job | Status |
|---|---|---|
| Retail | Shelf and planogram checks from phone photos | Live |
| Real estate | 3D buyer walkthroughs | Live |
| Retail | Promo banners from real product photos | Live |
| Construction | Site progress from photos | Playbook ready |
Start to finish
- 1
Write down correct
We collect photos or drawings from your real stores or sites, bad lighting included. Each one gets the answer a person on your team would sign. That set becomes the test it is graded on.
- 2
Build inside your tools
It works where the work already happens: WhatsApp, email, your POS, CRM or practice software. Nobody learns a new tool.
- 3
Run it with a person approving
For the first weeks a person approves what it sends. We loosen that only where the scorecard says it has earned it.
- 4
Grade it every month
The test re-runs monthly and whenever the model underneath changes. You get the score and the list of what it got wrong.
Bad light is part of the job
Shelf photos are taken in a hurry, at an angle, under fluorescent tubes. The test set is built from those photos, not from the tidy ones.
If nobody can write down what correct looks like, we don't build it yet.
Tell us the job your team hates. We'll tell you if AI can do it.
A 30-minute call with the people who would build it. No technical knowledge needed: just describe the job, how often it happens, and how you check it's done right.