Master seismic uncertainty with high-fidelity modeling
Traditional earthquake models often overlook granular site conditions, leading to significant basis risk and capital inefficiency. Cotality’s probabilistic frameworks provide the clarity needed to transform volatile seismic data into actionable portfoio intelligence.

Eliminate seismic surprises with paleo-seismic modeling
Earthquakes are rare but catastrophic. To ensure insurers are never caught off guard, Cotality utilizes a sophisticated blend of paleo-seismic and seismo-tectonic characterization. By integrating the latest regionally accepted geological data, we transform hidden tectonic threats into high-fidelity probabilistic models. This granular approach provides the clarity needed to maintain solvency even in the face of the most severe seismic events.

Engineering precision into every seismic risk view
Regionalized high-fidelity modeling
We leverage regional paleo-seismic and seismo-tectonic data alongside local soil amplification. Building vulnerability is engineered using specific regional codes and construction practices to ensure precise, asset-level risk resolution.
Asset-specific seismic precision
We move beyond neighborhood averages by integrating granular soil and sedimentary basin data with robust engineering vulnerability models. This ensures you are insuring the specific risk of your building, not the statistical mean.
Seamless platform interoperability
Empower your tech stack with standardized data inputs and secure cloud APIs. Our architecture enables the real-time integration of catastrophe modeling outputs into your existing workflows, delivering scalable results with unrivaled speed.
US Earthquake Model

Optimize your risk strategy.
The Cotality US earthquake catastrophe model integrates the latest research from USGS NSHM updates, delivering high-fidelity clarity for pricing and solvency assessments.
By bridging the gap between scientific research and insurance operations, we transform geological volatility into a stable foundation for strategic risk management.
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