An AI stylist for the closet you already own.

ATTYR started with a closet that wasn't working. Pieces bought and never worn. Pieces that didn't pair with anything else. Pieces that fit nothing like the photograph suggested they would. The wardrobe was full, the question of what to wear was still open.

There were apps for this — sort of. Shopping apps asked what you liked, returned a grid of new products to buy. Wardrobe organizers showed what you owned, in a list, doing nothing with it. Neither did the actual job, which was the one a stylist does: read the closet, listen for the day, propose an outfit that uses what's already there.

ATTYR is that stylist. It reads your closet from the photos you snap, learns your taste through a short conversation, and reads your body so it knows you're a Mango M and a Uniqlo L before you tap buy.

Every morning it composes one outfit from what you own — shaped by weather, calendar, occasion, and the pieces you've been wearing lately. When the closet has a real gap, it says so plainly. The store is something it touches when the wardrobe asks for it, not the first move.

Most software in fashion has been about buying more. ATTYR is the other half: the styling, the sizing, the conviction to recommend what to wear today and not just what to buy next.

That's a bet that people want to use their wardrobes more, not replace them constantly. That cross-brand sizing — the part no one has solved cleanly — is what makes virtual try-on actually useful. That an AI stylist that knows your closet is a different product from an AI shopping assistant.