Slayrobe is an AI-powered fashion app that helps women reduce wardrobe waste through personalized styling, color analysis, and wardrobe curation. The app provides professional-grade seasonal color analysis in under 60 seconds, mix-and-match tools for creating looks from existing items, and personalized shopping recommendations. It is trained on 70,000 styling decisions and includes a women-only community for fashion inspiration.
Funding
Funding not disclosed
Founders
Product
Problem
Many women experience the "so many clothes but nothing works" cycle, leading to impulse purchases, wasted money, and frustration with their wardrobes. Fast fashion and trend-driven marketing encourage mindless consumption, leaving consumers with closets full of items that don't suit their personal style or skin tone.
Solution
Slayrobe is a mobile app that combines AI-powered personal styling with wardrobe management to help women buy less, choose better, and wear longer. The app offers professional-grade seasonal color analysis that works in under 60 seconds from a selfie, providing personalized color, makeup, and jewelry recommendations. Users can upload their clothing items to mix and match with stylist-level precision, creating editorial looks from what they already own. The platform also provides personalized shopping suggestions that show how potential purchases will look with existing items, reducing the cycle of frustrating returns. Slayrobe includes a women-only community with expert talks, lookbooks, and inspiration to support intentional fashion choices.
Target Audience
Primary users are fashion-conscious women who want to reduce wardrobe waste, make more intentional purchasing decisions, and develop a personal style that works for their body and skin tone.
Features
- AI-powered seasonal color analysis delivering professional-grade results in under 60 seconds from a selfie
- Wardrobe digitization and mix-and-match tools that create stylist-level outfit combinations from uploaded items
- Personalized shopping recommendations that style items in real-time before purchase to reduce returns
- Trained on 70,000 styling decisions to improve recommendation accuracy
- Women-only community features including expert talks, lookbooks, and user-generated content with social sharing
- Companion e-commerce collection of jewelry and accessories designed to complement the styling platform