ZestyAI Announces Agreement with Coterie Insurance to Deliver Property Risk and Value Insights

ZestyAI, the leading provider of climate and property risk analytics solutions powered by artificial intelligence (AI), announced an agreement with Coterie Insurance, a partnership-focused Managing General Agent (MGA), leveraging data and technology to provide instant quoting and issuing of small business insurance policies. Coterie will use ZestyAI’s property risk analytics platform, Z-PROPERTY™, to provide timely risk insights for business insurance underwriting across the U.S.

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ZestyAI’s Z-PROPERTY platform uses computer vision and machine learning to extract insights from aerial and satellite imagery, among other unique data sources, for over 150 million residential and commercial properties. ZestyAI maintains a database of every property in North America that is constantly updated as changes in property condition, maintenance, and upgrades impact each property’s evolving value and risk.

“Like Coterie, ZestyAI is part of the ecosystem revolutionizing commercial insurance,” said Paul Bessire, Chief Data Officer at Coterie Insurance. “By providing property data, we expect ZestyAI will help Coterie understand both attritional and catastrophic risk impacting commercial data.”

“Coterie Insurance has zeroed in on what businesses are looking for: speed, service, and simplicity,” said Attila Toth, Founder and CEO of ZestyAI. “We’re excited to partner with them to provide our unique property insights and enable them to provide their clients with a fast, transparent, and accurate underwriting process.”

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Coterie Insurance will use Z-PROPERTY’s precision scoring on factors such as roof condition and complexity, debris, vegetation overhang and many more to make better underwriting decisions. With Z-PROPERTY’s strong coverage and accuracy, Coterie Insurance can make faster decisions, reduce the frequency and cost of manual inspections and drive down loss ratios. Z-PROPERTY seamlessly integrated into Coterie’s existing systems in less than one week.

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