
Facts your photos show but your data lacks
A port, a colour, a dimension diagram already in your gallery and missing from the field a filter or an AI assistant reads. Lift it into the data.
Visual Evidence checks product photos against buying requirements, revealing what they prove, what contradicts your data, and what they can't show—so you know which photo to add before updating product fields.


A laptop shot from every angle can still never show the port side. A sofa photographed perfectly can still leave a buyer unsure it fits through the door. A gallery checklist counts photos; it does not ask whether any photo answers the question the buyer is stuck on.
And some facts no photo can carry, battery life or a weight. Asking an AI to read them off a picture is how a storefront ends up confidently wrong.
The right answer is sometimes: no photo can show this. Record it instead.
The same export as the Decision Audit, with your image links. Nothing goes on your site.

01You
Your catalogue export for one category, with the image links you already publish. No customer data.

02Us
For each requirement in the category, which facts it needs and whether a photo can show each one: ports yes, soldered memory no, battery life never. A vision model reads what each photo shows; our requirement engine, not the model, decides what it means.

03Both
The facts a photo shows but your data lacks, the photos that contradict your data, and the photo to add for a fact that matters, alongside the Decision Audit's field repairs.

A port, a colour, a dimension diagram already in your gallery and missing from the field a filter or an AI assistant reads. Lift it into the data.

The spec says two HDMI ports and the photo shows one; the colour field says navy and the photo is green. A buyer who trusts the photo returns the product.

Add a photo of the port side for these laptops, because buyers choosing for two monitors depend on it. A photographer's job, not data entry.

Battery life, weight, memory that cannot be upgraded: marked as facts to record, never read off a picture.

Every model is scored on our benchmark before it reads your photos, and a correct cannot tell scores higher than a lucky guess.
Early access. It is offered first inside a Decision Audit pilot, on one category. It is built and benchmarked on public product data, and has not yet run on a merchant's own catalogue.
Each model is tested first on a benchmark of product questions, including ones no photo can answer. In our first run on public product data, two models answered cannot tell 98% of the time when no photo could show the fact. That is public data and two models, not your catalogue and not a promise.
A gallery check asks whether you have the required number and type of photos. Visual Evidence asks whether any photo proves what a buyer needs to establish, and whether it agrees with your data.
No. We tell you which photo to add and why. Your team or your studio takes it, and the next audit confirms it shows what it should.
One category export with the image links you already publish. No customer data and no access to your systems.
Ask for Visual Evidence with a Decision Audit pilot.
Early access, priced in the pilot.