What it sells
AI Operations Partner for Mortgage & Banking
Business model breakdown
Buyer: who owns the budget?
UnverifiedCOO or head of operations / compliance at a mortgage lender or servicer.
Trigger: what makes them buy now?
Faster clear-to-close, lower origination/servicing overhead and compliance pressure (TRID clocks, QC sampling).
Workflow: what inputs become what output?
Eight agents run loan-origination desks in order: loan officer assistant, POS, document concierge, income desk, conditions manager, TRID and cure management, pre-close QC, compliance agent; they write into the lender's LOS and keep decision traces.
Economics: what it saves and how it charges
Replaces manual queue labor and sampling QC; claims pre-close QC per file down from 4h50m to 47m, 1,000+ calls audited a month, 9.2x more appointments booked.
Distribution: how it reaches customers
Demo-led (Book a call, watch a demo, "run UMOS on your own loan files"), case-study driven.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2022 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.