Risk Insights

Advanced Fire Modeling for Insurance.

Features

Overview

  • See your exposure clearly. FiSci merges historical burn data, weather, fuel loads, and vegetation mapping to produce an accurate, data-specific picture of wildfire risk.
  • Run scenarios before fire season starts. Predictive fire spread modeling turns abstract vulnerability into our massive scale premitigation plans.
  • Turn risk data into a defensible plan. Massive Area Fire Denial premitigation strategies prioritize where treatment matters most, to support better insurance and compliance outcomes.

Effective wildfire protection starts long before a fire ignites.

Through our partnership with FiSci, Matrix Wildfire clients gain access to fire spread modeling and risk quantification tools that inform where and how our premitigation resources are deployed. It's the intelligence layer that makes our Massive Area Fire Denial premitigation precise, effective, and insurance-verified. 

Know Your Exposure 

FiSci's platform pulls together historical burn data, weather, fuel loads, and vegetation mapping into a single, accurate picture of a property's wildfire exposure. From there, it runs predictive fire spread scenarios under real weather conditions, turning abstract risk into something measurable and specific. You're not guessing at your vulnerability. You're looking at it. 

From Risk Data to a Plan That Holds Up 

Quantifying risk is only useful if it leads somewhere. FiSci translates its modeling output into multi-year mitigation strategies, prioritizing where treatment will have the greatest impact and how budgets can be allocated without waste. The result is a defensible, data-backed plan, one that supports better insurance outcomes and demonstrates compliance when regulators or auditors come looking.

Together, FiSci's risk intelligence and Matrix Wildfire's ground-level application capabilities give asset owners something unique in wildfire premitigation: a complete picture, and a proven way to act on it.