Restb.ai
Computer vision AI that analyzes real estate property photos to auto-tag features, assess condition, and generate listing data for MLSs, appraisers, and investors.
Last reviewed 6/2/26
How Restb.ai uses AI[1][2][3]
Computer vision and deep learning analyze property photos to detect features, classify rooms, and score condition, turning listing imagery into structured property data at scale.
- • Detects 500+ interior and exterior details, from hardwood floors to natural light
- • Classifies room types and architectural styles, and flags watermarks and duplicate images
- • Scores interior and exterior condition and quality separately, and detects damage by severity and location
- • Extracts hundreds of data points mapped to the UAD 3.6 appraisal format
- • Aligns outputs with RESO and MISMO data standards for the real estate industry
AI type: Computer Vision, Deep Learning
Founded
2015
Headquarters
Barcelona, Spain
Stage
Seed
Employees
51-200
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