Wildfire Risk Modeling

Built on emergency-response fire science. Scaled with best-in-class catastrophe modeling.

 

KatRisk’s Wildfire Model brings physics-based fire behavior into insurance workflows, aligning catastrophe analytics with how fires truly ignite, spread, and intensify, so teams can move beyond static hazard maps.

Why KatRisk for wildfire

Fire science meets insurance-grade catastrophe analytics.
We combine Technosylva’s wildfire behavior models with KatRisk’s financial modeling and portfolio analytics to produce scalable, insurance-ready risk metrics grounded in real fire behavior.

We combine

Best-in-class wildfire behavior models

Trusted for mitigation and critical event response.

Best-in-class catastrophe modeling

Financial modeling, and portfolio analytics.

Trusted where the bar is highest

Technosylva’s fire behavior science is field-tested and trusted by fire agencies and utilities worldwide, built on rigorous standards required for real-time response.

Key capabilities

KatRisk Estimated Wildfire Spread Rate for the January 2025 Eaton Fire
01

High-resolution fire behavior modeling

Fire simulations at 30-meter resolution across the continental U.S., modeling vegetation, fuels, slope, and terrain. Outputs include fire spread rate and flame length, aggregated to variable resolutions up to 50 meters.

02

Short-term and long-term hazard views

Dynamic hazard modeling through both:

  • Long-term hazard potential based on full fuel availability
  • Short-term hazard reflecting reduced fuels within recent burn footprints

03

Climate change adaptability

Model the impact of climate change on wildfire hazard across scenarios and time horizons.

04

Smoke modeling driven by fire physics

For each event, both burn and smoke footprints are simulated using biomass-driven smoke generation and Air Quality Index. The model captures off-footprint exposure, supported by vulnerability functions that reflect how smoke affects different asset types.

05

Speed without compromising science

Calculate losses from event sets exceeding 50,000 years in seconds, supporting fast quoting, portfolio optimization, and risk ownership decisions. Speed is achieved through architecture and engineering disciplines, not by simplifying the underlying fire science.

06

Comprehensive list of modifiers

Capture vulnerability at the building and neighborhood level using modifiers such as roof type, siding, vents, neighborhood density, vegetation clearance, location within the wildland-urban interface (WUI), and designations such as FireSafe communities.

Built for insurance workflows

Use high-resolution fire behavior outputs to support:

Underwriting

Underwriting with event-based hazard and defensible drivers

Pricing

Pricing with risk metrics designed for decisioning

Portfolio management

Portfolio management with scalable analytics for accumulation and concentration insight

Bring Real Fire Behavior Into Your Risk Decisions

See how physics-based wildfire modeling and insurance-grade catastrophe analytics come together to deliver faster, more defensible underwriting, pricing, and portfolio insights.