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 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.
Leverage multi-factor risk scores to identify every property’s risk of damage in the event of a peril. Work together with policyholders to proactively mitigate risk, building trust and avoiding future claims.
We apply computer vision models to high-quality Nearmap aerial imagery and identify risk factors that led to wind losses based on historical claims dataset. These insights are then synthesised into a Wind Vulnerability Score, allowing users to quickly assess a property’s vulnerability.