The best AI tools to find a commercial real estate lender (2026)

The tools at a glance

How we chose and sorted them

We included tools that publicly describe AI-assisted matching of a commercial real estate loan to lenders, and we sorted them by the job they're built for, not by a score. We left out general chatbots, residential mortgage tools and lenders that only match deals to their own programs.

1. Relendi: know which lenders a deal clears before you send it

Relendi starts with the property address and builds the deal file from more than 12 government data sources. It sizes the loan the way a lender does, at the lowest amount that debt service coverage, loan-to-value and debt yield each support, and names the test that held it down. Then it screens the deal against each lender's credit box (loan size, leverage, coverage, asset class, geography and rate type) and shows the first test each lender fails. Brokers screen against their own lender book. Borrowers see what their deal actually clears. Relendi's free public MCP server lets Claude, ChatGPT or any MCP client size the deal without an account and hand it to Relendi in one link. Where it stops: a match is a screen, not an approval, and Relendi doesn't quote live rates. Its data is deepest in New York and Florida. AI lender matching

2. Lev: a CRE team platform with lender matching built in

Lev calls itself "the AI platform and product system for commercial real estate teams." Its Lender Search and Lev Match rank lenders by appetite, asset type, geography and loan size, inside a product that also includes a CRM, a pipeline, data rooms, memo drafting and AI agents. It also offers an OAuth-scoped MCP server for connecting AI tools to a Lev workspace. Plans start at $299 a month. Read our Relendi vs Lev comparison.

3. CommLoan AI quote generator: instant matches from an OM

CommLoan's May 2026 launch describes uploading an offering memorandum, or entering deal details, and getting a ranked list of three lender matches in under a minute from a database of more than 600,000 loan programs. The announcement says it's free for mortgage brokers.

4. AveryGPT and Janover Pro: lender and originator research

Both are built for finding who to call. AveryGPT matches by property type, location and loan amount, lists loan-officer contacts and tracks outreach and quotes. Janover Pro lets brokers filter thousands of verified lenders by loan amount, property type, execution type and location.

5. Groundstone AI and CapitalMatch

Groundstone AI pairs deal analysis with a capital-sourcing agent that ranks providers with a fit score and an outreach-drafting agent. CapitalMatch is borrower-facing: it filters its lender network by deal profile and hands you to a specialist.

How to choose

• If your problem is "I don't know who to call", use a lender database (AveryGPT, Janover Pro, Lev's Lender Search).
• If your problem is "I send deals to lenders who were never going to say yes", use a screen that sizes the loan and checks each lender's box first (Relendi).
• If your problem is running a team's pipeline and relationships, use a CRM-first platform (Lev).
• If you want quotes fast on a standard deal, try a quote generator or marketplace (CommLoan).
• If you work inside Claude or ChatGPT, check whether the tool has an MCP server. Relendi's is free and needs no key. Lev's connects to a Lev workspace.

What no AI tool does for you

No matching tool approves a loan. Every lender still underwrites the property, the sponsor and the business plan, and the terms can change after the first quote. Lender appetite moves with the market, so a list that fit last quarter may not fit today. The deal package still decides the terms: clean numbers, a current rent roll and T-12, and a sizing a lender can check.