ATTOM launched Transparent Owner, a data product that better identifies the individuals behind residential property ownership.
Transparent Owner is built using proprietary identity resolution techniques that combine public record data, machine learning and advanced linking logic to uncover and connect beneficial ownership across properties and geographies. By assigning standardized Owner IDs and resolving inconsistencies in how names appear in public filings, the dataset provides a clearer and more actionable view of who controls a property.
“Property ownership has gotten more complex, and public records do not always tell the full story,” ATTOM Chief Product and Technology Officer Todd Teta said in a release. “Transparent Owner helps our clients cut through that complexity and see the real picture, whether they are vetting a deal, analyzing portfolios or building compliance checks.”
Transparent Owner offers the following features:
- Owner name standardization – Normalizes thousands of variations in how individuals, LLCs and trusts are recorded across jurisdictions;
- Entity matching – Resolves owner identities across counties and legal entities using geographic, linguistic and behavioral signals;
- Unique owner IDs – Assigns a consistent, persistent identifier to each owner, regardless of how their name appears in different records;
- Mailing address linkage – Connects resolved owner identities to verified mailing addresses, where available, for outreach and validation; and
- Owner classification – Categorizes owners into types such as person, investor, lender, company, education or government, based on ownership patterns and scale.