Attom, a provider of property data, artificial intelligence (AI)-powered analytics and real estate intelligence solutions, launched its next-generation automated valuation model (AVM), a ground-up, AI-first rebuild designed to move beyond the limitations of traditional comparable-sales-based valuation models.
Traditional AVMs rely heavily on recent comparable sales, which limits accuracy in today’s low-transaction housing market. Attom’s new model replaces this dependency with an AI-driven approach that leverages more than 30 years of time-adjusted transaction history, enabling more reliable valuations for underwriting, portfolio analysis and risk management, particularly in markets where traditional AVMs struggle.
The result is a valuation system that learns how markets evolve over time by analyzing relationships between property characteristics, historical pricing patterns and hyperlocal trends to generate accurate, property-level valuations even in low-liquidity or data-sparse environments.
“This is not an incremental improvement — it’s a complete re-architecture of the AVM using advanced AI,” said Rob Barber, CEO at Attom. “We’ve moved beyond static, comp-based approaches to a dynamic system that can learn from decades of market behavior and adapt to changing conditions in real time.”
Through iterative out-of-sample testing across the past decade of residential sales, the Attom AVM consistently delivered a median absolute percentage error of 2.9%, with more than 80% of valuations falling within 10% of the actual sale price.
“We model how each neighborhood has evolved over the past 30 years and use that temporal context to translate historical sales into accurate present-day values. This gives our valuation system a richer foundation to learn from, allowing each model to synthesize property characteristics, local market dynamics and price history into a single, informed estimate,” said Aaron Wagner, vice president of data science at Attom. “The result is consistent accuracy, even in markets where traditional comparable-sales approaches tend to break down.”
Each valuation includes a confidence score that provides a clear signal of reliability, enabling organizations to automate decisions with greater control and transparency.
The Attom AVM is built for enterprise use across mortgage, insurance, investment and proptech applications, and is delivered through flexible solutions including APIs, bulk delivery, and cloud platforms such as Snowflake and Databricks.
