Impetus AI Solutions

Impetus AI Solutions — Paired pre-incident / post-incident satellite and drone imagery aligned to per-policy field polygons, with derived vegetation-index deltas, AI patch classification, and quantified loss percentages — joined to farmer-submitted geotagged damage reports and, downstream, to the insurer's settled claim outcome. Asset class is labelled crop-damage training data for tropical/sub-tropical smallholder parcels under an Indian government crop-insurance scheme, where parcel boundaries are supplied by insurers rather than by an OEM farm platform.. Micro AI-services vendor: ~9 staff,…

Impetus AI Solutions offers (Alternative, Geospatial, ESG) — Request further research — no parcel, polygon or imagery count is published. Mechanic-based bound: each assessment requires a pre/post imagery pair per policy polygon, so volume equals parcels-assessed x events; under an Indian government scheme programme this could reach 10^5-10^6 polygon-pairs, but that is inference from the scheme context, not a vendor figure. Request parcels assessed to date and imagery archive size..

Training crop-damage detection and severity models on tropical smallholder parcels — a resolution and farm-size regime badly under-represented in temperate-field training corpora; parametric index insurance trigger calibration and validation; claims-fraud detection using geotagged evidence versus satellite assessment; scheme integrity auditing (comparing farmer-reported to satellite-assessed loss); rapid post-disaster loss estimation for flood and cyclone events; validation of satellite vegetation indices against realised loss in monsoon-affected regions

Coverage spans APAC; Data Processing & Outsourced Services, Property & Casualty Insurance; alternative, geospatial, ESG; equities, commodities.