Natural hazard proximity, flood zones, pipeline corridors, and property risk scores: 28 datasets for underwriting, claims validation, and portfolio analysis.
Risk assessment depends on location. But most underwriting teams still rely on static flood maps, manual geocoding, and disconnected hazard sources. The data exists. Getting it into a decision quickly is the hard part.
Score properties against flood zones, wildfire perimeters, seismic risk, and hurricane paths at constant time.
Identify insured properties near oil, gas, or chemical pipelines for liability assessment and environmental scoring.
Cross-reference a claim location against spatial data: was the property actually in the affected storm path?
Run spatial risk scores across an entire book of business. Aggregate exposure by geography and hazard type.
Pay per query, not per download. Fractional access to any geography.
Let your AI assistant run exposure checks on demand. Connect Claude or ChatGPT through BigGeo AI and query hazard data, claims validation, and portfolio risk scores in natural language. Every query is governed, licensed, and billed at runtime.
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