Turn your selfies into a personal AI stylist
Other AI stylists want you to photograph 100 items one by one. Layered reads your selfies instead and builds your closet for you. Get daily outfit picks from what you already own, Pinterest-style lookbooks from any new dress, and travel capsules packed for your destination, weather, and luggage size. Need more? Track cost-per-wear, spot clothes you never wear, plan cleanups, and get tomorrow's outfit on a Home screen widget.
Layered tracks purchase price and wear frequency for each item, calculating cost-per-wear and displaying utilization rates so users can identify their most-worn pieces and unused items hanging in the closet.
Layered reads selfies from the user's photo library and automatically detects, extracts, and categorizes garments using on-device ML and Google Gemini, building a complete digital closet in minutes instead of hours of manual entry.
Layered suggests outfit combinations from items the user already owns, with weather-aware recommendations and an AI stylist chat that answers 'what should I wear' questions for any occasion using real wardrobe data, not stock images.
Layered's Wardrobe Refresh feature shows which pieces are worn most and which are unused, providing data-backed guidance to help users make informed decisions about keeping or removing items from their closet.
Layered's capsule wardrobe planner lets users select a destination, climate, and trip length, then suggests a minimal set of owned items that combine into the most outfits, optimizing for luggage constraints.