New predictive tool aims to strengthen underwriting decisions and property-level risk visibility
LexisNexis Risk Solutions has introduced Location Intelligence for Home, an AI-powered predictive risk model designed to help US home insurers enhance property risk evaluation and underwriting accuracy. The solution is available through LexisNexis Smart Selection, the company’s automated data platform used for underwriting rules and inspection flagging.
The model combines neural network technology with industry-wide claims information, location intelligence, and historical loss data to produce property-level risk scores across six major perils: hail, wind, weather-related water damage, non-weather-related water damage, freeze, and collapse or falling objects.
According to LexisNexis, homes with the highest risk scores are up to 20 times more likely to generate claims than those with the lowest scores, providing insurers with deeper visibility into exposure concentrations and potential loss drivers.
In addition to individual property scoring, the platform offers portfolio-level risk insights, enabling insurers to assess broader underwriting performance and concentration risks. The model is designed to integrate directly into existing underwriting workflows, allowing carriers to adopt predictive analytics capabilities without developing proprietary models internally.
LexisNexis said it plans to pursue regulatory filings for underwriting and rating use across multiple US states in the coming months, expanding the model’s application within personal lines insurance markets.
