Severe wind event, May 2024
Expand your business in high-risk areas by identifying and planning for properties most exposed to future damage by using our predictive wind risk assessments, regional hazard data, and key vulnerability factors.
Our machine learning and computer vision models reveal property vulnerability, identifying factors like missing shingles, roof stains, roof material, and roof shape. Underwriters can easily identify properties with high-risk factors to manage the risk accordingly.
Wind Risk Insights reveal the exact property attributes that contribute to higher claim risk, empowering underwriters and agents to build trust and work proactively with policyholders to mitigate risk.
Applying computer vision models to Nearmap aerial imagery identifies risk factors that lead to wind losses based on historical claims datasets. These insights are synthesised into our Wind Vulnerability Score, allowing users to quickly assess a property’s vulnerability.