Lender-matching engine for commercial finance
CoreFi's lender-matching engine scores each deal against the appetite, product criteria and borrower profile of every lender on its curated panel. Brokers see a ranked shortlist with per-lender fit scores, so they can approach the right lender first rather than blasting the market and burning relationships.
Sending a deal to the wrong lender wastes time, risks a footprint on the borrower's file, and strains the relationship with that lender. CoreFi's matching engine runs a structured score against every active lender on the panel before you pick up the phone, weighting sector appetite, LTV and LTC thresholds, borrower type, deal size, and the lender's current submission tier so you are not recommending a route that is closed to you. The result is a ranked shortlist rather than a list of guesses.
This is the part of the platform that is hardest to replicate with a generic sourcing tool or a spreadsheet. The criteria are built from each lender's own appetite notes and product configurations, updated as the panel evolves, and cross-referenced against the borrower profile you have already captured in the deal CRM. The match score gives you a documented reason for every lender recommendation you make.
Scores every lender, not just the obvious ones
When you run a match, the engine evaluates every lender on the CoreFi panel against the deal in front of you, including specialist lenders you might not have considered. Each lender receives a score from 0 to 100 based on how well the deal fits their appetite and product criteria. You see the full ranked list, not a curated handful, so niche options surface alongside the mainstream names.
Criteria that reflect how lenders actually underwrite
Generic sourcing tools tend to work from broad product categories. CoreFi builds lender criteria at the product level: sector include and exclude lists, LTV and LTC thresholds, DSCR thresholds, eligible borrower types (limited company, sole trader, SPV), minimum and maximum deal size, and whether the lender is a direct relationship or routed via a packager or master broker. The engine draws on the same kind of information a lender BDM would use to give a first-sight yes or no.
Anti-circumvention routing built in
Packagers and master brokers on the panel operate under anti-circumvention clauses in their introducer agreements. CoreFi's submission-tier logic reflects this: direct lenders show full contact details, while packagers and master brokers are presented via submission method only. This is enforced at the platform level so agents do not accidentally bypass the contractual routing, which helps protect the brokerage from relationship and legal risk.
Match runs against the live deal record
Because the matching engine is integrated with the deal CRM, it reads the borrower profile, sector, funding requirement, security and structure that your team has already captured. There is no re-keying. As the deal develops and details are refined, you can re-run the match and see whether the shortlist changes. The score is always based on the current state of the deal, not a snapshot from the day it was created.
A documented recommendation for your client
Expectations around lender recommendation are increasing, even in unregulated B2B finance. A structured match score gives your team a documented rationale for why a particular lender was approached first. That is useful for internal quality control, for training junior brokers, and for showing a client that their deal was placed thoughtfully rather than speculatively.
Frequently asked questions
How is this different from a generic sourcing tool?
Generic sourcing tools tend to match on broad product type and deal size. CoreFi matches at the product level, incorporating sector appetite, LTV and LTC thresholds, borrower type, and the lender's actual submission tier and routing rules. It also runs against the borrower profile already in your CRM rather than requiring a separate application form.
Can we add our own lender relationships to the panel?
The CoreFi panel is curated and maintained centrally so that criteria stay accurate and up to date. If your brokerage has direct lender relationships that are not on the panel, mention this when you book a demo and we can discuss how those are handled.
What happens when a lender changes their appetite or criteria?
Lender appetite notes and product configurations are updated on the CoreFi panel as information comes in from BDM conversations, appetite communications and deal outcomes. The match engine always runs against the current configuration, so a lender that has tightened sector appetite will score lower on affected deals automatically.
Does the matching engine cover regulated products?
CoreFi is built around unregulated B2B commercial finance. Regulated products sit outside the core scope. Where a deal touches a regulated product, the platform flags it for appropriate referral rather than attempting to route it.
Does running a match leave any record on the borrower's credit file?
No. Running the match inside CoreFi is an internal scoring exercise against lender criteria. No application is submitted and no credit enquiry is made until you and the borrower decide to proceed with a specific lender. The match is a planning tool, not a submission.
See the matching engine in action
Book a demo to walk through a live deal match against the CoreFi panel. We will show you how the scoring works, what the ranked shortlist looks like, and how it connects to the deal CRM and submission pack workflow. Get in touch for access and pricing.
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