AI interior design that transforms room photos into photorealistic redesigns with shoppable furniture
Free tree testing tool for testing information architecture
Stage
Startup
Established
Founded
2025
2021
Based in
Not given
Not given
Pricing model
Freemium
Free
Pricing
Free first design per month. Intro Pack: $0.99 (7 credits, one-time). Credit Pack: $7 (30 credits, one-time). Monthly: $21/month (120 credits/month). À la carte: $0.59/credit (or $0.39/credit for subscribers). Room scan costs 1–2 credits, design costs 3 credits, Ultra 4K design costs 10 credits.
Free for unlimited tree testing and card sorting studies, unlimited participants and responses, and full analysis. Participant recruitment through UXbeam's panel starts at $1 per participant-minute.
Key features
Photorealistic redesigns from room photos
128+ interior design styles
Room dimension measurement from photos
Real furniture filtering and matching
Virtual staging for empty rooms
Support for 8 room types
Design generation in 1-3 minutes
Web and mobile app access
Live pricing on furniture items
Unlimited tree-testing studies and participants
Leading-task detection to catch biased wording
Path replay visualization of participant navigation
Task outcome breakdown into direct, indirect, and elsewhere
Full-scenario completion tracking across multiple tasks
Mobile-compatible participant experience
Integrated card sorting with tree testing workflow
Multiple valid destinations per task
Iterative testing with versioned results
Complete CSV export of participant-level results
What makes it different
Redesigns measured to fit your actual room dimensions
Works with imperfect real-world photos
No subscription required, pay-as-you-go
No credit card required and truly unlimited at no cost
Built-in methodological safeguards prevent common research mistakes
One-screen setup lets researchers create tests in minutes
Mental Model Detection identifies competing ways different user groups organize content
AI-assisted participant recruitment with audience targeting
DecorlyAI