ATTOM INTRODUCES SEMANTIC VIEWS FOR PROPERTY DATA IN SNOWFLAKE
ATTOM INTRODUCES SEMANTIC VIEWS FOR PROPERTY DATA IN SNOWFLAKE
PR Newswire
IRVINE, Calif., Oct. 13, 2026
Initial v1.0 release brings ATTOM-defined context to property data, laying the foundation for ongoing enhancements to AI-powered analytics
IRVINE, Calif., Oct. 13, 2026 /PRNewswire/ -- ATTOM, the leading provider of property data, AI-powered intelligence, and real estate analytics solutions, today announced the availability of Semantic Views for its property data delivered through Snowflake, giving organizations a new way to interpret and query ATTOM's extensive property data, making it easier for organizations to turn complex information into actionable insights.
Built using Snowflake's native Semantic View technology, the offering adds a layer of business context to ATTOM's property data, helping AI systems understand how information connects and should be used. Rather than requiring customers to build and maintain that knowledge themselves, ATTOM has already done the work, drawing on decades of experience curating and standardizing property data.
"ATTOM has spent decades building one of the industry's most comprehensive property data assets, combining extensive historical information, broad coverage and deep expertise in how property data connects," said Rob Barber, CEO at ATTOM. "Semantic Views allow us to extend that advantage beyond the data itself by providing the context AI needs to understand and interpret it. This is another important step in our AI strategy and reflects our commitment to continually advancing how customers access and use trusted property data."
Bringing Greater Understanding to Property Data
Access to high-quality property data is essential for AI and analytics, but data alone doesn't always provide the context needed to interpret complex information correctly.
Semantic Views provide that understanding through a semantic layer built around ATTOM's property data, helping organizations:
- Simplify AI analysis with natural-language questions.
- Reduce development time with ATTOM-defined data relationships and logic.
- Improve accuracy and consistency with trusted data definitions.
- Get insights faster with easier access to property data through Snowflake.
"Semantic Views represent an important evolution in how customers interact with our property data," said Todd Teta, Chief Product and Technology Officer at ATTOM. "We're bringing decades of property data expertise into an environment where AI can better understand and work with that information. Just as importantly, this isn't a one-time development. We plan to continuously enhance these views as customer needs evolve, helping organizations get more value from their data investments."
Continuously Curated. Built to Evolve.
The initial v1.0 release marks the beginning of ATTOM's ongoing development of Semantic Views, with future releases planned to expand coverage, strengthen data relationships and refine the semantic context available to AI and analytics tools.
Unlike static semantic models, the Semantic Views built around ATTOM's property data are designed to evolve. ATTOM will continue evaluating and refining the underlying context as new business questions, use cases and data needs emerge.
By combining its extensive property data assets with ongoing semantic curation, ATTOM is extending its data advantage into AI-powered analytics while helping customers avoid the complexity of building and maintaining that knowledge themselves.
Semantic Views are available across a growing range of ATTOM's property data products delivered through Snowflake, with coverage continuing to expand.
To learn more about Semantic Views, download the white paper here.
About ATTOM
ATTOM delivers AI-driven property intelligence built on the nation's most trusted property data repository, covering 160+ million U.S. properties—99% of the population. Our engineered, multi-sourced, semantically rich real estate data spans property tax, deeds, mortgages, foreclosure, environmental risk, property conditions, natural hazards, neighborhood insights, and geospatial boundaries, rigorously validated for advanced analytics. ATTOM supports analytics, AI applications, and AI agents through flexible delivery options including APIs, bulk licensing, cloud delivery, and the MCP Server for AI-powered, agentic access to engineered property data, enabling organizations to automate analysis, power intelligent workflows, and scale property intelligence across industries.
Media Contact:
Megan Hunt
megan.hunt@attomdata.com
Data and Report Licensing:
949.502.8313
datareports@attomdata.com
SOURCE ATTOM
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