VELVET AI
Velvet is an AI-powered fashion discovery and virtual try-on app that lets users explore complete looks, see them on a photorealistic Digital Double of their own body, and shop from a catalog of over one million products. The platform uses natural-language search and adaptive learning to personalize recommendations, and is available as an iOS app with a conversation-driven interface.
- Fashion Technology
- Commerce & Shopping
- Artificial Intelligence
- AI Agents
- Software Only
- Augmented & Virtual Reality
- Applications
- Retail Technology
Funding
Founders
Founder details are not available yet.
Product
Problem
Online fashion shopping is often impersonal and inefficient, requiring users to scroll through endless product listings, apply filters, and guess how clothes will look on their actual bodies. This leads to dissatisfaction, high return rates, and a lack of confidence in purchase decisions.
Solution
Velvet provides an AI-driven fashion discovery and virtual try-on platform that transforms shopping into a conversational, personalized experience. Users describe what they want in plain language—such as "something elegant but not too formal"—and the AI curates matching items from a catalog of over one million products. The app also generates a photorealistic Digital Double of each user, allowing them to see how clothes fit and look on their own body rather than on a generic model. The system learns each user's style preferences and size over time, continuously refining its recommendations to stay aligned with their evolving taste. The platform is currently available as an iOS app with an interactive, conversation-driven interface designed to eliminate filter-based browsing.
Target Audience
The primary audience is fashion-conscious consumers who shop online and want a more personalized, visual way to discover clothing that fits their individual style and body type.
Features
- Natural-language style search that interprets conversational queries like "something elegant but not too formal"
- Photorealistic Digital Double technology that renders garments on the user's own body for realistic virtual try-on
- Personalized curation engine that analyzes over one million products and delivers a shortlist of five tailored recommendations
- Adaptive learning algorithms that remember user sizes and style preferences to improve suggestions over time
- Social discovery features that let users explore looks curated by other community members and share their own style
- Mobile-first interface available as an iOS app with an interactive, conversation-driven shopping experience