Master Reonomy with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make Reonomy powerful for ai real estate workflows.
AI that analyzes public records and ownership data to map property ownership networks, identify decision-makers, and track ownership changes over time.
Commercial broker identifies that private equity firm owns 15 similar properties in target market and proactively reaches out with acquisition opportunities.
Machine learning that identifies potential investment opportunities, upcoming sales, and market trends based on property data patterns and ownership analysis.
Real estate investor receives alert that aging mall properties owned by distressed REIT are likely to come to market based on ownership and financial patterns.
AI-powered lead identification that matches properties with potential buyers, sellers, and tenants based on investment criteria and market behavior patterns.
Leasing agent gets qualified leads for industrial space by identifying companies with expiring leases in similar properties who might need new warehouse space.
Detailed property analysis including ownership history, transaction patterns, debt information, and market positioning for thorough due diligence.
Investment fund evaluates potential acquisition using complete ownership history, previous transaction prices, current debt load, and comparable market analysis.
Now that you know how to use Reonomy, it's time to put this knowledge into practice.
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Tutorial updated March 2026