Real-time wildfire proximity triggers doubled retention among top insurers
The signal-to-meeting workflow
Pull geospatial fire alerts from NASA FIRMS and wind vectors from NOAA.
Map fire polygons against policyholder coordinates.
Alert triggered in near real-time.
Deep model forecasts loss probability using weather, slope, vegetation.
Filter for top 25% exposure; score urgency and risk.
Send dashboard and mitigation suggestions to insurer teams.
Climate intelligence platform powering real-time risk mitigation for insurers.
Its edge is alert-to-advisory speed under one hour.
Global fire perimeter datasets fused with insurer policy coordinates.
Fire activity detected within 10 km radius.
AI calculates loss probability using multi-source telemetry and only escalates top 25% exposures.
Reply 20→44%, conversion 55→82%, ARR +$5M, portfolio retention doubled.
You will speak with a market engineer, review the signals and workflows that fit your market, and leave with concrete next steps.
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