Deal automation, statement parsing, and lender matching for merchant cash advance brokers.
MCA funding decisions happen in hours, and most of those hours go into work no one should be doing by hand: parsing months of bank statements, calculating average daily balances and negative days, and packaging submissions for a dozen lenders with different criteria. We build the systems that do that automatically, so brokers submit in minutes and stop losing deals to slower turnaround.
What holds teams back in MCA & Alternative Lending
Off-the-shelf software rarely handles edge cases or legacy systems in this vertical. These common operational bottlenecks cost teams high-value business every month.
What we automate for MCA & Alternative Lending
Automated Bank Statement Parsing
OCR and document AI extract deposits, daily balances, negative days, and existing positions from statement PDFs into structured, reviewable records.
Lender Matching & Submission Packaging
A rule engine scores each deal against lender criteria — state, industry, monthly volume, time in business — and assembles the submission package for the ones that fit.
Merchant Document Collection
Single-use secure upload links chase missing statements and applications automatically, so files complete without a broker sending reminder emails.
Connected Industry Tools
We don't ask you to rip and replace your vertical software. Our systems integrate bi-directionally with the core platforms you already rely on:
Industry Compliance & Guardrails
Production systems in regulated and high-touch verticals require rigorous safeguards before handling real data or customer communications:
Common questions: MCA & Alternative Lending.
Q.How accurate is automated bank statement parsing?
Accurate enough to reverse the workflow: the system extracts, the underwriter reviews. Every extracted figure is shown against the source page so a human confirms rather than re-enters, and low-confidence fields are flagged for attention instead of passed through silently.
Q.Can it handle statements from any bank?
Layouts vary widely, so the parser is built to generalise across formats rather than to match templates, with confidence scoring on each field. Formats it has not seen are flagged for review, and the system improves as your actual deal flow passes through it.
Q.Will it work with our existing lender relationships?
Yes. The matching engine encodes your lender criteria — state restrictions, minimum monthly volume, industry exclusions, position limits — as rules you control and can update without a developer.
Q.Is merchant financial data handled securely?
Documents are encrypted in transit and at rest, uploads use single-use expiring links rather than email attachments, access is scoped by role, and every submission is logged with its recipient and timestamp.
Core AI capabilities for MCA & Alternative Lending
Have a process that should work better?
Bring us the bottleneck, the brittle build, or the idea. We'll give you a direct read on what to do next.