Cytora and Chimnie Collaborate on AI-Driven Risk Evaluation for Home Insurance

Competition increases among homeowners insurance providers as more policyholders want smart home devices and are willing to switch carriers to get them. (Credit: Gorodenkoff Productions OU/Adobe Stock)

Cytora has joined forces with Chimnie to incorporate AI-driven property data into its risk-processing platform, catering to the home insurance sector.

Leveraging AI modeling, Chimnie’s datasets amalgamate information from various sources, including HM Land Registry, Royal Mail, NHS, Ordnance Survey, and British Geological Survey.

Through the integration of this data into Cytora’s platform, underwriters can seamlessly integrate these insights into their workflows, facilitating more efficient risk assessment.

This collaboration represents another milestone for Cytora in constructing a comprehensive data ecosystem for the insurance industry, following previous partnerships with Chubb and the integration of Large Language Models into its platform.

Juan de Castro, Chief Operations Officer at Cytora, underscores, “Cytora is dedicated to furnishing insurers with AI-driven solutions fueled by a leading data ecosystem. Our partnership with Chimnie marks significant progress toward achieving this objective. By incorporating Chimnie’s property dataset into Cytora’s platform, underwriters can promptly harness this vital information to make swifter and more informed decisions.”

Competition increases among homeowners insurance providers as more policyholders want smart home devices and are willing to switch carriers to get them. (Credit: Gorodenkoff Productions OU/Adobe Stock)

Tomás Arribas, Chief Technology Officer at Chimnie, affirms, “Our strategic collaboration with Cytora will leverage Chimnie’s geospatial and property data to enrich Cytora’s insurance risk assessment capabilities. Our comprehensive data will empower Cytora to streamline insurance submissions validation, conduct thorough evaluations of relevant risk parameters, and ultimately aid insurers in making more precise underwriting and pricing decisions.”

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