Severe wind event, May 2024
With a Wind Vulnerability Score giving property-level vulnerability insights, you can price individual properties according to their risk instead of regional pricing.
Machine learning and computer vision models are built to reveal property vulnerability, identifying factors like missing shingles, roof stains, roof material, and roof shape. Properties with these high-risk factors are scored as higher risk, so underwriters can identify them easily and manage the risk accordingly.
Wind Risk Insights reveals the exact property attributes contributing to higher claim risk, empowering underwriters or agents to work with policyholders to proactively mitigate risk, which builds trust and can avoid future claims.
Regional hazard and property-level vulnerability are the key components of understanding overall risk. Wind Claim Predictor combines the FEMA Wind Risk Index (regional hazard) and the Wind Vulnerability Score (property-level vulnerability) and is a single, transparent, and actionable predictor of overall wind claims risk.
Properties scored as extremely high for wind claim risk are significantly more likely to be damaged in a wind event when compared to extremely low properties.
We apply computer vision models to high-quality aerial imagery and identify risk factors that led to wind losses based on historical claims dataset. These insights are then synthesized into a Wind Vulnerability Score, allowing users to quickly assess a property’s vulnerability.
Confidently apply wind models to your ratings. We worked with Milliman Appleseed to pre-file our Wind Vulnerability & Claim Predictor models with over nine relevant states.