The problem it solves

In visually rich catalogs — apparel, party goods, costumes, décor, parts — buyers often can't name what they're looking for, only recognize it. Keyword search fails them, they scroll three pages, and they leave. The bigger your catalog, the worse it gets.

What it does for your business

Photo in, products out

A buyer uploads an image — from a competitor's site, a customer request, a shelf photo — and gets your closest matching SKUs instantly.

'More like this' on every product

One click surfaces visually similar items — colorways, styles, substitutes — turning dead-end product pages into discovery paths.

Finds substitutes when you're out of stock

Out-of-stock pages suggest the nearest visual match instead of losing the sale.

Tuned to your catalog

The model is fine-tuned on your product images, so it learns the distinctions that matter in your business — not generic internet categories.

How it works

A vision model (CLIP / SigLIP) fine-tuned on your catalog imagery; embeddings served from a vector index alongside your product data. Strongest ROI at 10,000+ visually distinct SKUs.

What we need from you

Your product image library and catalog master. Higher-quality, consistent imagery improves results — we audit and tell you before training.

See Visual Search & Similarity on data like yours

A 30-minute walkthrough on live sample data — including how the model is trained and validated.

Request a Demo