Find Lenders for Your Deal
Without the Guesswork
Every deal has a lender. The problem is finding the right one before your client loses patience. Stop sending blind pitches and start matching based on actual fit.
Why Finding Lenders Takes Forever
Capital advisors spend more time searching for lenders than analyzing deals. Most of that time is wasted on lenders who were never going to say yes.
Lending Criteria Change Constantly
A lender who was quoting bridge deals last month may have paused that program today. Rate changes, allocation limits, and risk appetite shift without notice. Your spreadsheet is already stale.
Relationship Maintenance Is a Full-Time Job
You cannot know every lender. You cannot keep up with every program. The advisors who close the most deals are not the ones who know everyone. They are the ones who know who to call for each specific deal.
Most Outreach Gets No Response
You send 20 emails. 3 respond. 1 actually quotes. That is 19 wasted touches. The lenders who did not respond probably knew in seconds this deal was not a fit. You just could not see what they saw.
What Lenders Actually Filter On
Every lender has a box. If your deal fits, they will look. If it does not, no relationship in the world will get you a quote.
Asset Type & Geography
A lender who does multifamily in Texas is not going to quote your industrial deal in Ohio. This sounds obvious, but most advisors still blast the same list for every deal.
Deal Size Sweet Spot
A lender with a $5M minimum is not going to waste time on your $2M deal. A lender who caps at $15M cannot help your $40M refinance. Size match matters.
Leverage & Risk Profile
Lenders have LTV limits. They have DSCR floors. They have occupancy thresholds. Send a 75% LTV ask to a lender who caps at 65% and you are wasting everyone's time.
Sponsor Requirements
Some lenders want 3+ years experience. Others require net worth minimums. Others care about specific asset class track record. Know these before you pitch.
How AI Changes Lender Matching
Instead of manually filtering your contact list, AI matches your deal parameters against lender criteria automatically. You get fits, not guesses.
Structured Lender Database
Groundstone maintains a database of capital providers with structured lending criteria: asset types, geographies, size ranges, leverage limits, and program details. Not a contact list. A decision engine.
Deal-to-Lender Matching
Upload your deal. AI extracts the key parameters. Then it searches the lender database for programs where your deal fits the box. You get a shortlist of lenders who actually want what you are offering.
Fit Reasoning Explained
For each match, you see why it works: which criteria align, which might be borderline, and what the lender typically looks for. No black box. You understand the match before you make the call.
Personalized Outreach Drafts
Once you identify matches, AI drafts outreach emails tailored to each lender and your specific deal. Professional, concise, with the key metrics they need to make a quick decision.
What Changes When Matching Works
Better matches mean higher response rates. Higher response rates mean more quotes. More quotes mean better terms for your clients.
Instead of 50 cold calls to your whole list
When lenders see deals in their wheelhouse
Less chasing, more closing
"The advisors who close the most deals are not the ones who know the most lenders. They are the ones who know which lenders to call for each specific deal."
Match Deals to Lenders Automatically
Upload your deal. Get matched with capital providers who actually want what you are offering. Stop guessing, start closing.