The Problem
Property transactions involve enormous sums and limited information. Buyers rely on listing descriptions written by sellers.
For property managers, assessing condition across dozens of properties requires systematic inspection — prohibitively expensive or simply not done.
What We Do
Upload property photos. Computer vision analyses visible condition: facade cracks, window deterioration, roof damage, moisture stains.
Combined with location data and comparables, the system generates a market value estimate and a renovation cost breakdown.
How It Works
Upload
Property photos + basic data (location, size, year).
Vision Analysis
AI identifies visible issues: structural, aesthetic, installation-related.
Condition Score
Each element rated: good / acceptable / needs attention / critical.
Valuation
Market value estimate based on location, condition, comparables.
Renovation Estimate
Itemized cost breakdown based on regional pricing data.
Document Processing
Energy certificates, contracts, registry records — extracted.
Technology
Concrete Example
An investor uploads 40 photos of a 6-unit building. System identifies: facade needs full renovation (€35,000), moisture damage (€8,000), original 1985 windows (€18,000). Total: €78,000. Investor negotiates price down by €60,000.