The AI built for NatCat property underwriting
ResiQuant gives leading insurance carriers and MGAs the power to underwrite catastrophe-exposed property with engineering-grade confidence and zero backlog.





Trusted by the property teams at
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The first AI underwriting platform purpose-built for catastrophe risk
ResiQuant combines structural engineering insight with automated workflows, uncovering vulnerabilities that standard data sources miss.




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04
Perils Covered
Earthquake, wildfire, windstorm, flood.

Occupancies
Supports most US occupancy types, including Commercial, Multi-family, Single Family, and more.

AI Agents
Submission AI, Engineering AI, and Underwriting AI, built to work together or modular.
Geographies
Supports 99% of US, AK, HI.
Integration
API, CAT-model ready exports, seamless UI.
Property teams use ResiQuant to grow in an era of retreat
Deploy AI agents that think like a skilled underwriter and structural engineer. ResiQuant handles complex property schedules, validates critical risk factors, and identifies profitable opportunities others miss.





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Results you
can measure.
Numbers show the impact.
Stories show the reality.
Reduction in manual underwriting workload
No Submission Backlog During Peak Period
Reduction in
inspection costs
Reduction in manual processing time
Less time on
unwritable risks
Increase in
underwriter capacity

No submission
backlog during peak
period
Built on a foundation of proven domain expertise.
Credibility that goes deeper than software. It’s decades of structural engineering and building science turned into a platform.
ResiQuant doesn’t just promise underwriting transformation.
It delivers it.
“ResiQuant is transforming how we process submissions, delivering risk-specific engineering insights at remarkable speed. This is helping our underwriters better understand each risk, set pricing based on robust and specific risk data, and write CAT exposed business with greater confidence based on better information.”
Michael Brown
VP of Property at Golden Bear Insurance Company

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