No one knows our imagery better than we do. Owning the entire technology stack, from cameras and processing to AI modeling and feature extraction, we built a best-in-class system optimized for developing high quality roof condition assessments. Nearmap Roof Condition uses a variety of roof condition AI derived data layers, including ponding, staining, damage, repairs, and missing tiles and shingles.
Nearmap Roof Condition is not a blackbox solution. Each assessment includes vertical and oblique imagery of the property and a complete view of AI derived information, including area, percentage of affected roof, confidence level, and visual reference on property imagery. This enables a multi-lensed approach to combine quantitative analysis with qualitative judgement.
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