Moody’s Corporation has agreed to acquire California-based CAPE Analytics, which specialises in geospatial AI intelligence for properties, for an undisclosed sum.
The acquisition is expected to be completed in Q1 2025, pending approvals. Moody’s does not expect it to impact financial results.
The move will integrate Moody’s Intelligent Risk Platform and CAPE’s analytics to create a property database that provides address-specific risk insights.
The risk insights include building characteristics, firmographic data and peril risk.
This is expected to benefit insurance carriers, reinsurers and financial stakeholders by enabling them to assess property exposures, vulnerabilities and the risks associated with natural hazards such as wildfires, hurricanes, and hailstorms.
CAPE Analytics utilises computer vision, machine learning and geospatial imagery to generate risk assessments for individual properties.
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By GlobalDataThis capability spans the US and extends into regions of Canada and Australia.
Moody’s CEO and president Rob Fauber said: “I continually hear from our customers that they are seeking more precise and actionable information as they evaluate an evolving set of risks.
“By combining our CAT [catastrophe] risk models with CAPE’s AI-powered property risk intelligence, we will provide our customers with the most advanced property risk analytics available in the industry, enhancing insights and decision-making across the insurance life cycle.”
In a post on company website, CAPE CEO Ryan Kottenstette commented: “This is an exciting milestone after a decade of company-building. Since founding CAPE Analytics ten years ago, we have developed a leading artificial intelligence platform that delivers proprietary, instant and accurate risk insights for property at the individual address level – at a global scale.”
This follows Moody’s acquisition in November 2024 of Numerated Growth Technologies, a loan origination platform.
With this, Numerated integrated into Moody’s Lending Suite to streamline loan origination processes.