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Insurance and risk analytics require evaluating environmental exposure across millions of policies and properties. With Wherobots, carriers and reinsurers can join policy and parcel data with hazard layers, enrich it with building and land cover data, and schedule the workflows that depend on location.

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Examples

Roof & Solar Portfolio Inspection

Detect roofs and solar panels across an area of interest from text prompts, then target detailed data spend at the properties the inspection surfaces.

Catastrophe Exposure Analysis

Join parcel and property records with FEMA flood hazard zones to quantify the parcels and assessed value exposed.

Underwriting Enrichment

Enrich policy submissions with Overture Maps building footprints and places using spatial joins.

Severe Weather Data

Correlate NOAA Severe Weather Data Inventory records, such as hail signatures and storm cells, with insured locations.

Portfolio Concentration Monitoring

Detect spatial clustering of insured risks with Getis-Ord Gi* hotspot analysis.

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Key Capabilities

Join parcel and property records against FEMA flood hazard zones to count exposed parcels, total assessed value at risk, and land use mix per city or portfolio segment.

California coastal flood risk

Quantify parcels and assessed value inside FEMA flood zones.
Join millions of policy locations against hazard polygons, peril footprints, and administrative boundaries in a single query with WherobotsDB’s optimized spatial join engine.

Spatial joins in Wherobots

Join policy locations against hazard polygons at scale.
Access and analyze NOAA Severe Weather Data Inventory records to correlate historical severe weather events with insured property locations across the US.

Exploring storm data

Correlate NOAA severe weather records with your locations.
Apply Getis-Ord Gi* spatial statistics to identify statistically significant clusters of claims, losses, or insured values. Surface portfolio concentrations before the next catastrophe.

Hotspot detection

Separate real concentrations from noise with Getis-Ord Gi*.
Join property records with building footprints from Overture Maps and elevation data, and detect roofs and solar panels in aerial imagery with the Roof Inspection Guide.

Using Overture Maps

Pull building footprints and places from one open catalog.
Look up the ESA WorldCover land cover class around insured properties to assess wildland-urban interface exposure, flood susceptibility, and vegetation fire risk.

Exploring ESA WorldCover

Explore global 10 m land cover classes from ESA WorldCover.

Get started with Wherobots

Try Wherobots with your own geospatial data in minutes.