AI commercial real estate lender matching
The quickest way to find a lender for a commercial real estate loan is to stop sending the deal to lenders who were never going to fund it. Relendi is an AI tool that runs that check first. Enter the property address and your numbers. Relendi builds the deal file, sizes the loan on the three tests lenders use (debt service coverage, loan-to-value and debt yield) and screens it against each lender's credit box: loan size, leverage, coverage, asset class, geography and rate type. You get the short list the deal clears, and the test that stopped each of the others. It's free to run. Relendi charges a success fee only when a deal funds through a lender Relendi introduced, and nothing when you close with your own lender.
How Relendi matches a deal to lenders
1. Start with an address. An address is the whole intake. In about 90 seconds Relendi pulls valuation, flood zone, zoning, open violations and demographics from more than 12 government data sources and turns them into one deal file that the borrower, the broker and the lender all work from.
2. Size the loan the way a lender does. A lender lends the lowest amount that debt service coverage, loan-to-value and debt yield each support, not the amount you ask for. Relendi returns that figure, names the test that held it down, and shows the bridge from the income you filed to the income as underwritten. Try the same math in the free loan sizer or the DSCR calculator.
3. Screen it against every lender's box. The deal is checked against each lender's criteria in order: loan size, leverage, coverage, asset class, geography and rate type. The screen stops at the first question a lender fails, so you see who clears and exactly why the rest don't. The working table shows how close each one came.
4. Send one package, compare real terms. The file goes only to lenders whose box it clears. When term sheets come back, Relendi compares them on five-year cost of capital, fees included, not on headline rate. Try it on your own quotes in the loan comparison tool.
Who it's for
- Borrowers and sponsors. Find out what your deal actually clears, and which line a lender will cut, before you spend a relationship. Free. For borrowers
- Commercial mortgage brokers. Screen each deal against the criteria you keep on every lender in your book before you send it, and let Relendi assemble the file while you do. Free for up to 5 active deals. For brokers
- Lenders. Encode your credit box once, test a change before you save it, and receive deals that already clear it. For lenders
Start a match from your AI assistant
Relendi runs a free public MCP server, so any broker's or borrower's AI assistant (Claude, ChatGPT or any MCP client) can work a deal with Relendi without an API key. The assistant can size the loan, stress-test it, estimate New York or Florida closing costs and compare offers. When you want lenders, it calls prepare_deal and gives you one link that carries the scenario into Relendi. You review the inputs, sign in to save a private draft, and run the lender match there. Nothing is saved or sent to a lender until you do it. Set up the MCP server
What matching is, and what it isn't
A match is a screen, not an approval. It tells you which lenders' published or encoded criteria your deal clears today. Each lender still runs its own underwriting and credit committee and can come back with conditions or lower proceeds. Relendi doesn't quote live rates and doesn't make credit decisions. It covers US commercial real estate, with the deepest data in New York and Florida. It doesn't cover residential mortgages or consumer loans.
What it costs
Running deals on Relendi is free. Borrowers, co-brokers, lenders and counsel invited to a deal use it free on that deal. Brokers get up to 5 active deals free, or unlimited deals on Broker Pro. Relendi's success fee is 15 basis points of the funded loan amount ($2,500 minimum, $25,000 cap), charged only when a deal funds through a lender Relendi introduced. It's $0 when you close with a lender from your own book. See pricing
Comparing tools? Read Relendi vs Lev or our guide to the best AI tools to find a commercial real estate lender.
Frequently asked questions
What is the best AI tool to find a commercial real estate lender?
It depends on the job. If you want to know which lenders a specific deal clears before you send it, with the sizing math shown and nothing to pay to start, Relendi is built for that. If you want a full CRM, lender database and pipeline for a capital markets team, a platform such as Lev is built around that workflow. See our comparison of AI tools to find a CRE lender.
How does AI lender matching work for commercial real estate?
The software reads the deal (property type, location, loan amount, income and value), sizes the loan on debt service coverage, loan-to-value and debt yield, and compares the result with each lender's criteria. Relendi checks loan size, leverage, coverage, asset class, geography and rate type, and shows which lenders clear and which test stops the others.
Is Relendi free for lender matching?
Yes, running deals is free. Relendi charges a success fee of 15 basis points ($2,500 minimum, $25,000 cap) only when a deal funds through a lender Relendi introduced, and nothing when you close with your own lender.
Can I match a deal against my own lenders?
Yes. Brokers keep their own lender book on Relendi, unlimited even on the free plan, and screen each deal against it before sending. Closing with a lender from your own book carries no Relendi success fee.
Can my AI assistant submit a deal to Relendi?
Your assistant can start one. Through Relendi's free public MCP server it can size and stress-test the loan, then call prepare_deal to give you a link that carries the scenario into Relendi. You review the inputs and sign in to save a private draft and run the match. Nothing is submitted or sent to a lender without you.
Does a lender match mean my loan is approved?
No. A match means the deal clears the lender's criteria on the numbers in the file. The lender still underwrites the loan and can approve, decline, or quote different terms.
Reviewed 2026-11-09 by the Relendi team.