Improve Risk Selection with Geospatial Data Analysis

Location is a critical factor in property risk (e.g., exposure to floods, wildfires, crime). LLMs, often integrated with geospatial AI tools, can analyze location data, satellite imagery, climate models, and crime statistics to provide granular risk scores for specific properties or areas. This enables more accurate geographic risk assessment and pricing. For example, an LLM could analyze wildfire risk models and historical burn data to assign a precise risk score to a property address.