About Kibbe

We teach machines to understand clothes.

Kibbe is the fashion data layer for commerce — the models and APIs that let every store search, sort and recommend like its best stylist.

Book a demo Questions & answers

Our story

Generic AI sees a shirt. Fashion needs more.

We started Kibbe after watching great fashion catalogs fail shoppers. Search engines built for electronics couldn't tell a tea dress from a slip dress, or know that "wedding guest in August" rules out wool.

So we built models that think in silhouette, fabric, fit and occasion — and made them available to any retailer through one API. The same intelligence also powers our own styling app, snatch.fashion.

How we work

Three promises we build around.

01Fashion-native, never genericEvery model is trained on fashion and evaluated by people who work in it.

02Measured in revenueWe prove lift with A/B tests on your traffic — not demos on ours.

03Your data stays yoursCatalog and shopper data serve your account only. No silent training on it.

Questions & answers

What teams ask before they start.

Something else? hello@kibbe.ai

A fashion-data API and discovery platform. Our models are trained on fashion, so they tag, search, recommend and advise on fit using the same attributes a stylist would — silhouette, fabric, fit and occasion.

We teach machines to understand clothes.

Generic AI sees a shirt. Fashion needs more.

Three promises we build around.

What teams ask before they start.

See Kibbe on your own catalog.