Mobile App
DrapeAI - Try On
AI-powered virtual clothing try-on app

- Result
- MVP: 4 weeks
- Technologies used
- FlutterPythonComputer VisionSupabase
- Visit site
- DrapeAI - Try On
Context
DrapeAI came to us with an idea for a mobile app that lets users try on clothing on their own photos before buying. The idea was clear, but technical feasibility had to be proven quickly.
Problem
Two things had to work at once for the try-on experience to land: image processing quality had to be convincing, and the app had to respond within a reasonable time on a mobile device. A working product was needed before investor conversations.
Solution
We chose Flutter to ship iOS and Android from a single codebase. Image processing was built as a separate Python service, so model improvements could ship without releasing a new mobile build. Supabase handled auth, storage and database, cutting backend setup from days to hours.
Case summary
Outcomes
From MVP to launch, fast
- MVP went from idea to launch in 4 weeks
- iOS and Android delivered simultaneously from one codebase
- Image processing service became independently deployable
- Supabase removed backend setup as a separate workstream
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Frequently asked questions
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