Property insurers have never had more data about where risk is concentrated. Catastrophe models and hazard scores map flood, wildfire, wind and hail exposure in fine detail. Yet two homes facing the same hazard can experience completely different outcomes in the same event — and that difference is what resilience data captures.
Hazard data answers the question: how exposed is this location? Resilience data answers a different and equally important one: how well is this specific building able to withstand the hazard it faces? A home with a properly attached roof, protected openings and sound construction may survive a windstorm that destroys a neighbouring property built to a lower standard.
For underwriting and pricing, combining the two is powerful. Resilience signals let carriers differentiate between well-built and vulnerable properties that a location-based model would treat as identical. That means more accurate pricing, the ability to reward resilient homes with better rates, and fewer surprises when a major event tests a book of business.
Resilience data also supports portfolio management. Understanding the resilience profile of an entire book helps insurers see where concentrations of vulnerable properties sit, model severity more realistically, and target loss-prevention efforts — including encouraging policyholders to make upgrades that reduce everyone's exposure.
AtlasAdapt delivers this as structured, property-level resilience intelligence that integrates into existing pricing and underwriting workflows through data APIs. The result is sharper pricing built on how homes are actually built — not just where they sit. To explore resilience data for your book, get in touch with our team.