Pilot
Interio-AI
AI interior redesign service from room photos with material selection and estimates inside a client cabinet.
PropTech / Interiors
generative design
imagery
estimation
Context
The client needed a service that quickly generates interior redesign options from a room photo and provides material selections and estimates. Traditional design studios could not scale to the incoming volume.
Solution
We delivered an AI service combining image generation, material selection, and a clear UX flow for private customers. The focus was on speed, predictability, and transparent estimates.
What is inside
- redesign generation from input photos and room parameters;
- image processing pipeline with quality control;
- material calculator and bills of materials;
- personal cabinet with saved projects and material collections.
Results
- faster prototyping and alignment with customers;
- less manual work for specialists;
- stable turnaround time at pilot scale.
Stack
- ControlNet / SD pipeline
- Ollama (prompt LLM)
- Python + FastAPI
- Next.js 14 + Tailwind
- SQLite (PostgreSQL supported)
- Redis queues
- Nginx + Uvicorn
Phases
Discovery → PoC → Pilot → Production → Support
CTA
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