There Has To Be a Better Way to Manage Roof Claims

Today, ZestyAI, the leading provider of climate and property risk analytics solutions powered by artificial intelligence (AI), unveiled its newest solution to address the leading driver of insurance losses – roof claims. ZestyAI’s Roof Age is a new solution that pinpoints the age of a roof using data from both building permits and historical imagery. This unique approach allows the company to determine the age of each roof with over 90 percent accuracy and nearly 100 percent coverage across the contiguous US.

Traditional methods of obtaining roof age information are deeply flawed and inaccuracies in assessing roof age contribute to the approximately $19 billion in roof-related claims per year. Most carriers depend on policyholder or agent-reported data, which is often inaccurate, leading to blind spots in assessing property risk. In a recent ZestyAI survey, 63 percent of homeowners reported not knowing the age of their roof if they were not in their homes the last time it was replaced.

Recognizing the critical need for a more reliable and comprehensive solution, ZestyAI has introduced Roof Age to precisely determine of the age of a roof with unparalleled accuracy. Insurance carriers will use ZestyAI Roof Age to prevent losses, improve premium capture, and optimize inspections.

“Roof claims stand as the primary driver of insurance losses, yet many carriers continue to rely on unproven policyholder-provided data for assessing roof age,” said Kumar Dhuvur, Co-Founder and Chief Product Officer of ZestyAI. “ZestyAI Roof Age is the most accurate, comprehensive product on the market. Our unique approach leverages the power of artificial intelligence to analyze both building permits and historical aerial imagery, providing unmatched confidence for insurance carriers in their underwriting and rating decisions.”

ZestyAI’s Roof Age solution is one part of a complete suite of ZestyAI products designed to evaluate roof-related risk. Other solutions in the suite include Digital Roof, which creates a digital twin of every structure in the US for unparalleled insights on condition, complexity, and potential points of failure, as well as highly specialized peril-specific risk models, such as Z-HAIL, Z-WIND, and Z-STORM.