From the Lab
The Drape Labs Blog
Thoughts on AI, design, engineering, and building beautiful things that actually work.
March 14, 2026
Welcome to Drape Labs
We started Drape Labs with a simple belief: AI should feel magical, not mechanical. Too many AI products hide behind dashboards and enterprise jargon. We wanted to build consumer apps that your friends would actually download — products that look beautiful, respond instantly, and quietly solve real problems.
Based in London, we operate as a small, independent product studio. No investors telling us what to build, no committees slowing us down. Just a team obsessed with craft, shipping fast, and learning from real users. Welcome to the journey — it's going to be a wild ride.
Announcement
Culture
March 14, 2026
Why We're Building Drape Wardrobe
Your wardrobe is full, but you have nothing to wear. Sound familiar? The average person uses only 20% of the clothes they own. The problem isn't selection — it's visibility and decision fatigue. We wanted to build an app that truly understands what you own and helps you make better outfit decisions every morning.
Drape Wardrobe uses computer vision to tag every garment by category, color, pattern, fit, and season — automatically. Then our AI goes to work recommending outfits based on your occasion, the weather, and what you haven't worn lately. Virtual try-on lets you see the look before committing. It's your entire closet, made intelligent.
Product
AI
March 14, 2026
Our Tech Stack and Why It Matters
We believe your tools should match your ambition. Drape Wardrobe is built native-first with Swift and SwiftUI for iOS, giving us 60fps animations and full access to device hardware. On-device AI runs through CoreML, which means image processing and garment analysis happens locally — your photos never leave your phone.
On the backend, we use Python with PyTorch for training our computer vision models, served through Flask and hosted on Google Cloud. Firebase handles auth, real-time data, and hosting. For our generative AI features, we leverage Gemini and Claude for natural language understanding, and fal.ai for blazing-fast image inference. Flutter powers our cross-platform prototyping when we need to move even faster.
Engineering
Tech Stack