Software for commercial mortgage brokerages
Lender appetite in a commercial brokerage usually lives in one senior broker's head and a spreadsheet nobody else trusts. When that person is on vacation the desk places deals worse. The fix is not a CRM, it is making the matrix a system that every broker queries the same way.
Capital and credit. A file opens, documents get collected, a third party decides, money moves, and every step has to be auditable. We have run this machine in production.
Sub-niches covered: CRE debt placement, Construction and land financing, Bridge and mezzanine debt, Multi-family and CMHC-insured lending, Owner-occupied commercial mortgages, Debt advisory and recapitalization.
You likely have this problem if:
Lender appetite lives in one senior broker's head.
Term sheets are found by searching an inbox.
A borrower has been asked for the same rent roll twice.
You cannot say how many deals you placed with a given lender this year.
Junior brokers submit to lenders that were never going to take the deal.
What breaks operationally:
Lender appetite is tribal knowledge, so junior brokers submit to the wrong lenders and burn relationships.
Term sheets sit in inboxes with no single record of what was offered, by whom, and on what conditions.
Borrower document requests go out piecemeal, and the same rent roll gets asked for twice.
Nobody can answer how many deals were placed with a given lender this year without rebuilding it by hand.
What we build:
Lender appetite matrix. Structured criteria per lender — asset class, loan size, LTV, location, term — that ranks placements for a deal profile instead of relying on memory.
Submission and term sheet log. Every submission and every term sheet recorded against the file, so the offer history is a record rather than an inbox search.
Borrower document portal. A single checklist per deal covering rent rolls, financials, environmental and appraisal, with automated follow-up on what is outstanding.
Placement analytics. Volume, close rate and turnaround by lender, so renewals of your lender relationships are negotiated on numbers.
How detailed should a lender matrix be before it is useful?
Start with the five criteria that actually disqualify a deal at your desk, usually asset class, loan size, location, LTV and term. A matrix with five accurate fields beats one with thirty fields that are half stale, and staleness is the failure mode that kills these systems.
Can borrowers upload documents without an account?
Yes, through a scoped link tied to the specific deal. Requiring account creation measurably reduces completion, and a signed, expiring link gives you the same control with less friction.
What about deals where we are one of several brokers?
The system needs to record that explicitly, because it changes how you sequence submissions and what you tell a lender. Software that assumes exclusivity produces confident, wrong advice on competitive files.
Do we need to replace our accounting or commission system?
No. The origination and placement layer is the gap. Commissions should flow out of it into whatever you already use rather than being rebuilt inside it.
Last reviewed 22 August 2026