Geospatial AI Analytics Engine
A geospatial AI engine that fuses satellite imagery, hazard layers, and exposure data to score property-level risk in real time across global portfolios.
Enterprise portfolio
Scale
Daily
Refresh cadence
Multi-territory
Coverage
Problem & use case
Hazard scoring relied on static, low-resolution layers that missed micro-exposure variation across portfolios.
Solution & engineering approach
A SageMaker-hosted CV + tabular ensemble running over PostGIS-stored exposures, exposed via an ArcGIS-compatible scoring API.
Architecture & data flow
- 01
Ingest hazard layers + satellite imagery
- 02
Run CV models for land-use + hazard classification
- 03
Join with exposure data in PostGIS
- 04
Score risk via ML ensemble on SageMaker
- 05
Publish scored layers to ArcGIS / dashboards
Technology stack
Implementation status
Implemented — CV + ML risk scoring pipeline on SageMaker with ArcGIS dashboard integration