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GIS · Remote SensingImplemented
GIS-Powered Exposure Analytics
A GIS exposure analytics platform that enriches portfolios with AI-derived attributes from satellite and remote-sensing data.
Global portfolio
Scale
Satellite + ML
Enrichment
Multi-territory
Coverage
Problem & use case
Exposure files lacked accurate occupancy, construction, and proximity attributes — driving pricing inaccuracy.
Solution & engineering approach
Deep learning classifiers over satellite imagery enrich each location with structural and environmental features stored in PostGIS.
Architecture & data flow
- 01
Geocode + validate exposure portfolio
- 02
Pull matching satellite + remote sensing tiles
- 03
DL classifiers infer occupancy / construction / proximity
- 04
Persist enriched attributes in PostGIS
- 05
Surface in ArcGIS / QGIS dashboards
Technology stack
ArcGISQGISDeep LearningPostGISRemote Sensing
Implementation status
Implemented — DL classification pipeline with PostGIS attribute store and ArcGIS/QGIS dashboards