COMMERCIAL REAL ESTATE · DEAL ORIGINATION
AI Deal Origination and Scoring for Commercial Real Estate
Find and rank acquisition targets before they reach the market. OutcomeCatalyst scores properties against your buy box using ownership, debt maturity, tax, and market signals, so your team pursues the parcels most likely to trade and fit your thesis. The interactive example below shows what it builds from market data, public records, and your pipeline.
AI deal origination for commercial real estate: common questions
What is AI deal origination in commercial real estate?
It is scoring every property in your target markets against your buy box using ownership tenure, loan maturities, tax and permit activity, and market signals, so your team focuses on the assets most likely to transact off-market.
How does it find off-market properties?
By reading public records, debt maturity schedules, ownership age and hold period, and distress signals, then connecting them into an intent score months before a broker runs a process.
How is this different from a CRE data provider?
A data provider sells you a bigger list. OutcomeCatalyst scores fit and timing against your own acquisition history, so you get a ranked target list instead of another database to sort.
