ATTOM’s Rental AVM weighs property characteristics, property value, rental history, and recent rental activity, and returns a calibrated low and high monthly rental value for nearly 100 million U.S. single-family homes, condominiums, and townhouses.
Semantic Views for Property Data in Snowflake
Explores how Semantic Views help AI and analytics tools better understand, interpret and query ATTOM’s property data by providing the business context behind complex datasets.
ATTOM Home Price Index (HPI)
Explores how ATTOM measures residential home price appreciation across the United States using machine learning and one of the nation's most comprehensive property data assets.
ResiScore by ATTOM
ResiScore introduces an AI-driven methodology for ranking neighborhoods based on expected home price appreciation, addressing a critical gap in identifying where to focus within a housing market.
ATTOM’s Propensity to Default
Combines historical real estate data with AI-powered analytics to help identify properties that are at risk of going into foreclosure.
Automated Valuation Model (AVM), Real Estate Valuations
Powered by ATTOM’s nationwide database, discover the core concepts and functionality of the ATTOM AVM and our valuation process.
How ATTOM is Powering Real Estate Innovation
Get a deep look into how real estate companies are utilizing ATTOM to revolutionize and disrupt the housing market.
The Return of Risk: Subprime Sneaking Back
What is subprime lending and what are the risks associated? The mortgage meltdown is widely identified with subprime lending so why should the return of such loans be welcomed?
Housing Precogs: Big Data Predictions Beyond Heuristic Hunches
Today heuristic hunches are out, big data is in, and the artificial intelligence revolution is taking the real estate world by storm.
Private Lending Goes Public
Where traditional lenders fear to tread others see demand. Private lenders - are looking for a bigger share of the marketplace. And they seem to be getting it.