To equip US underwriters, exposure managers and data teams with precise, building-level risk insights, the geocoding and property intelligence firm, Addresscloud has expanded its offering in the region and launched a US property data solution.
With Addresscloud, underwriters, exposure managers, and data science teams gain access to in-depth analytics that enable them to proactively protect their portfolios, mitigate losses, and respond nimbly to today’s risk landscape.
The Addresscloud solution is powered by a blend of high-resolution specialist data from partners, including JBA Risk Management’s flood data and wildfire insights from Precisely, alongside open tax assessor data and publicly available datasets from agencies such as FEMA, NOAA, and the U.S. Army Corps of Engineers. Every data point is linked to a building footprint, providing a comprehensive, localised view of risk that is tailored to the specific property.
Commenting on the launch, Mark Varley, CEO, Addresscloud, said: “Our expansion into North America marks a pivotal moment for Addresscloud. By rapidly delivering high-quality, location-specific risk data, we are empowering insurers, exposure managers, and data science teams with the insights they need to make informed, data-driven decisions.
“This release underscores our commitment to providing the speed, precision, and depth of analysis required to proactively manage risk, optimise portfolios, and enhance predictive modelling in an increasingly complex environment.”
How does Addresscloud work?
Covering more than 150 million properties and addressing 20 natural hazards, Addresscloud enhances insurers’ ability to understand, manage, and enrich risk portfolios. By consolidating detailed, location-specific insights on key risk factors—such as flood and wildfire vulnerability, structural characteristics, and multi-peril hazard exposure—underwriters can quickly identify high-risk properties and make data-driven decisions on coverage and pricing strategies.
Beyond underwriting, exposure managers can leverage Addresscloud’s high-resolution property data to enrich portfolios with primary and secondary modifiers, ensuring a more granular view of risk across their book. Data science teams can also integrate this information to enhance pricing models, improving predictive accuracy and risk selection.
Insurers can integrate Addresscloud’s APIs into their workflows, leverage advanced risk visualisation tools, or connect data directly into their own data lakes using Addresscloud’s new Data-as-a-Service (DaaS) offering to fuel analytics and machine learning models.
