How does Layered ensure data privacy?

Layered processes all data on-device using Apple's Foundation models, ensuring that your photos and information remain private and secure, with no data linked to your identity.

Can Layered work without an internet connection?

Yes, core features like closet building and outfit suggestions function offline using on-device AI, but features requiring external data, such as weather updates, may need internet access.

Is Layered available on platforms other than iOS?

Currently, Layered is exclusively available for iOS devices running iOS 17 or later, with no announced plans for other platforms.

How accurate is the AI in identifying clothing items from selfies?

Layered uses advanced on-device AI models to accurately detect and categorize clothing from selfies, though results may vary based on photo quality and lighting conditions.

Layered

Turn your selfies into a personal AI stylist

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What is Layered

Layered is an iOS app that uses on-device AI to transform selfies into a personal wardrobe manager, automatically building your closet and providing daily outfit suggestions based on weather and preferences. It also helps with travel packing, decluttering, and tracking clothing usage for a more efficient lifestyle.

Key Features

Automatically builds and categorizes wardrobe from selfies using on-device AI

Provides daily personalized outfit suggestions considering weather and preferences

Creates travel capsule wardrobes tailored to destination and luggage constraints

Tracks cost-per-wear and identifies seldom-worn items for decluttering

Use Cases

Fashion-conscious individuals seeking to optimize and manage their wardrobe efficiently
Busy professionals needing quick and reliable outfit decisions for daily routines
Travelers planning smart packing with weather-appropriate and luggage-friendly capsules
Users aiming to declutter and make sustainable fashion choices by tracking clothing usage

Why do startups need this tool?

Startups can leverage Layered to integrate AI-driven personalization into fashion and lifestyle apps, addressing user pain points like decision fatigue and wardrobe management. This enhances customer engagement, retention, and provides a competitive edge in the growing AI and consumer tech markets.