ATTOM Expands AI Rental Valuation Tool to Cover 100 Million Homes
ATTOM upgraded its rental AVM with an AI model that widens coverage by 40% and achieves a 5.9% median error rate on unlisted properties.
ATTOM, an Irvine, California-based property data and analytics firm, has rolled out a significantly upgraded version of its rental automated valuation model, extending the tool's reach to nearly 100 million U.S. residential properties, the company announced Nov. 3, 2026.
The enhanced model represents roughly a 40% expansion in coverage compared to its predecessor, according to ATTOM. On properties not yet listed for rent — historically among the hardest to price accurately — the system posts a median error rate of 5.9%, a figure the company says reflects the precision gains made possible by artificial intelligence-driven methodology.
Read more Revolve Group Reports Q3 2026 Financial Results →
Accurate rental valuations have grown increasingly important as institutional and individual landlords alike seek real-time pricing intelligence across a housing market that has experienced sustained volatility. Tools capable of estimating rents on off-market properties give investors, lenders, and property managers a broader analytical baseline when making acquisition or portfolio decisions.
ATTOM positions itself as a leading aggregator of property data in the United States, supplying analytics solutions to clients across the real estate, mortgage, and financial services industries. The expanded rental AVM is the latest in a series of product updates the company has tied to AI integration across its data platform.
Continue reading at Real Estate
