FAIR — Fashion AI
Our flagship AI product, built end-to-end in-house: proprietary trained models, visual search, and a personal AI stylist.
Client
FAIR Innovation — our own flagship product. Three years of R&D. Designed, built, and operated by the same engineering team you'd be working with.
Challenge
Fashion e-commerce is fragmented: thousands of brands, inconsistent sizing, and search that doesn't understand personal taste. We set out to build an AI layer between shoppers and retailers — one that understands each user's body, taste, and budget.
What we did
- Developed Style DNA — a proprietary framework that models each user's style, fit, color affinity, and purchasing behavior as a unique, evolving digital profile
- Trained our own computer-vision and NLP models for style, silhouette, color, and category recognition — proprietary IP, not API wrappers
- Built a hybrid semantic + visual search engine over a 600,000+ product catalog: search by text, by photo, or by screenshot
- Engineered cross-brand sizing intelligence covering 75+ fashion brands
- Designed AIRA — a personal AI stylist with wardrobe-aware recommendations and occasion-based outfit planning
- Shipped the full production stack: AWS cloud infrastructure, scalable APIs, ML data pipelines, admin platform, and mobile-ready frontend
Result
A production-grade AI ecosystem that reasons at the level of complete outfits, not single products — data pipelines, proprietary models, search infrastructure, and polished product experience, built entirely in-house. The same engineering muscle we bring to every client project.