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The Reonomy ID is a proprietary universal identifier generated by Reonomy's machine learning algorithms. It takes commercial real estate data from any source and restructures it into a standardized format, creating a single clear identifier for each property. This solves the longstanding problem of siloed and disparate CRE data by mapping all records—including previously disconnected or lost ones—to the correct property. The Reonomy ID effectively creates a common language that enables users to discover new insights from data they already have and combine it with Reonomy's extensive data network.
Reonomy uses its machine learning algorithms and extensive data partnerships to pierce through shell LLCs and holding companies to uncover the actual individuals or entities that own a property. The platform analyzes public records, corporate filings, deed transfers, and other data sources to map ownership structures and identify the real decision-makers. It also builds out full ownership portfolios showing all properties associated with an owner, their contacts, and their corporate structures, giving users a complete picture of who they are doing business with.
Reonomy provides property-level data for over 54 million commercial parcels across the entire United States. The platform combines data from its exclusive network of data partnerships covering title and assessor records, geospatial data, demographic data, and more. However, the platform is currently only available in the US, with the free trial form specifically noting US-only availability. Canada is listed as a country option on the contact form, suggesting potential expansion or related Altus Group services.
Yes, Reonomy offers dedicated API and data solutions alongside its web application. The API solutions allow organizations to integrate Reonomy's property intelligence, ownership data, and predictive analytics directly into their own platforms, databases, and workflows. This is particularly valuable for companies that want to enrich their existing CRE databases with Reonomy's standardized data using the Reonomy ID system. Technical documentation is available through Reonomy's support resources for developers working with the API.
The 'likelihood to sell' is a proprietary predictive indicator powered by Reonomy's algorithms that estimates the probability a commercial property owner may be ready to sell. The algorithms have been trained on billions of unique data points and refined with feedback from thousands of users, analyzing patterns in ownership tenure, transaction history, debt information, and market conditions. This feature helps CRE professionals identify off-market opportunities and prioritize outreach to property owners most likely to transact, giving them a competitive edge over those relying on publicly listed properties alone.
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Last verified March 2026