Insights

The insurance-linked securities market has grown to $61 billion in outstanding cat bonds, yet fund managers still monitor parametric triggers using spreadsheets and email alerts from broker desks. The gap between data availability and tooling is a market failure waiting to be solved.

Every CivilSense hazard score traces to a peer-reviewed publication or government technical report. This post explains the scoring architecture, the data sources that feed it, and why we show the math instead of hiding it behind a proprietary label.

Hurricane Harvey dumped 60 inches of rain on Houston in 2017, causing $125 billion in damage. Single-peril models that evaluated wind risk and flood risk independently missed the compound amplification that made Harvey catastrophic. Here is what the data shows.

Traditional catastrophe models estimate losses 48-72 hours after an event. Parametric triggers need real-time physical measurements. Here's why the gap matters for the $61B ILS market.

The three-module architecture behind every catastrophe model — hazard, vulnerability, financial — and why transparency in 2026 beats the black boxes built in the 1990s.

Analysis of 40 years of NIFC fire perimeter data reveals accelerating large fire frequency in California and the Pacific Northwest. Here's what it means for property underwriting.