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How image analysis is changing property valuation in Sweden
Traditional AVM models ignore what's visible in the photos. We explain how Nezto Vision Engine interprets rooms for a fairer valuation.
How image analysis is changing property valuation in Sweden
Automated valuation models (AVMs) traditionally rely on address, area, and transaction history. What buyers actually react to—light, materials, kitchen quality, bathroom condition—is visible in listing photos but rarely quantified.
Nezto Vision Engine combines market data with room-level image analysis. Each photo is classified for condition and features; contributions are aggregated into an explainable price estimate. The result is a valuation that reflects what the home looks like today, not only what similar homes sold for on paper.
For sellers and brokers, that means fewer surprises at viewing and a clearer story about which rooms drive the asking price.
