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Features vs. Scores: Building a Clearer View of Wildfire Risk
Why the closer property and material intelligence gets to pricing, filing, and reinsurance, the more valuable the underlying measurements become.
Aug 12
•
Raviv Turner
1
June 2026
Introducing OmniFire - Property-Level Wildfire Risk API for P&C Underwriters and Risk Providers
Why we spent a year talking to fire scientists, modelers, and underwriters before building OmniFire, our property-level wildfire risk API.
Jun 27
•
Ori Francos
1
Home Hardening Cuts Wildfire Losses in Half. The Hard Part Is Measuring It.
The science says wildfire mitigation works. The challenge is proving it at parcel scale.
Jun 27
•
Raviv Turner
1
Everyone Wants to Make the Earth Searchable. But AI Still Can't See It.
Why today's geospatial AI still struggles to understand the physical world.
Jun 27
•
Raviv Turner
We Haven’t Learned the Right Lesson from the Marshall Fire
The failure of today's wildfire maps
Jun 27
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Raviv Turner
The Missing Variable in Underwriting Wildfire Risk
Why the next generation of wildfire models will be built on parcel-level and community mitigation intelligence
Jun 27
•
Raviv Turner
Why We Started OmniGeo
Welcome to Ground Truth, OmniGeo’s publication on the intersection of geospatial AI and physical risk, for the people building in Earth observation and…
Jun 27
•
Raviv Turner
2
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