LexisNexis Risk Solutions has launched a new AI-driven location intelligence product targeting U.S. home insurance carriers. The tool is designed to give insurers a sharper, more granular view of property-level risk, pulling together geographic, environmental, and structural data to support more accurate underwriting decisions.
The insurance industry has faced mounting pressure in recent years as climate-related losses climb and carriers struggle to price risk with precision. LexisNexis says its new solution addresses that gap by combining machine learning with hyperlocal data signals that traditional models tend to miss. The goal is to reduce uncertainty at the point of underwriting rather than after a claim is filed.
The product is aimed squarely at carriers operating in the U.S. residential market, where property risk assessment has become increasingly complex. By embedding AI at the location-data layer, LexisNexis is betting insurers will prioritize smarter data infrastructure as a core part of their risk strategy going forward.
