ATTOM Enhances Rental AVM with AI-Powered Model Covering 100 Million U.S. Homes
ATTOM has announced significant upgrades to its Rental Automated Valuation Model (AVM), introducing an AI-driven approach that estimates monthly market rent for nearly 100 million single-family homes, condominiums, and townhouses across the United States. This update expands the company's rental coverage by approximately 40% and achieves a 5.9% median absolute error on properties not yet listed for rent. The new model utilizes machine learning to analyze property characteristics, historical rental data, and recent market activity. By leveraging these advanced analytics, ATTOM aims to provide more accurate insights for real estate investors, mortgage lenders, and insurers who need to evaluate rental potential or assess income for debt service coverage ratio (DSCR) loans. The enhanced tool is updated monthly to reflect shifting market conditions and is accessible via APIs, bulk data licensing, Snowflake, Databricks, and the company's MCP Server.
Topics: Artificial Intelligence Property Data Real Estate Technology Rental Market Analytics