Agremo

Agremo — Drone-captured aerial imagery of damaged crops processed through AI, machine learning and computer vision into quantified damage maps. Distinct analyses are productised per peril: a Hail Damage analysis, Green Snap detection and Lodging detection for annual crops, each returning identified affected areas, damage extent and crop type rather than a single blended score. Built to replace manual adjuster field scouting, so outputs are claim-ready damage maps with visual evidence attached, produced at drone resolution — centimetres per pixel rather than the 10 m of any satellite source. S…

Agremo offers (Alternative, Computer Vision Training, Insurance Loss, Geospatial) — Est. tens of thousands to low hundreds of thousands of drone flights processed over the operating life, each producing one or several high-resolution orthophotos plus a derived damage layer. Because each orthomosaic runs to hundreds of megabytes at centimetre resolution, the raw imagery archive plausibly reaches hundreds of terabytes to a few petabytes — and it is the per-instance damage annotation on top of that imagery, not the volume, that carries the value.

Training computer-vision models for automated crop-damage detection and severity estimation from drone and close-range imagery, where the hail, green-snap and lodging instance labels are the scarce input; automated adjuster decision support and triage to cut field visits; claim-fraud detection through independent severity re-measurement; yield-loss estimation from damaged-area proportions; damage-severity benchmarking by hybrid or region; and transfer-learning source data for satellite and UAV damage models needing fine-grained supervision

Coverage spans US, Other, APAC; Application Software, Multi-line Insurance, Agricultural Services; alternative, computer_vision_training, insurance_loss, geospatial; equities, commodities, structured_products.