LexisNexis launches AI property risk model for home insurers

LexisNexis Risk Solutions  launched Location Intelligence for Home, an AI-driven predictive model designed to help US home insurers improve property risk assessment and underwriting decisions. The product is available through LexisNexis Smart Selection, the company’s automated data service used for inspection flags and underwriting rules.

The model uses neural network technology, industry-wide claims data, location-based insights, and historical loss patterns to generate property-level risk scores across six perils: hail, wind, weather-related water, non-weather-related water, freeze, and collapse or falling object. According to LexisNexis, properties with the highest scores are 20 times more likely to generate claims than those with the lowest scores.

The solution also provides portfolio-level risk visibility and integrates directly into underwriting workflows without requiring carriers to build internal predictive models. LexisNexis plans to file the model in multiple states for underwriting and rating use in the coming months.