What it sells
AI operating system for commercial loans
Business model breakdown
Buyer: who owns the budget?
Chief Credit Officers, heads of commercial lending, loan operations and servicing leaders at community/regional banks, credit unions and non-bank lenders.
Trigger: what makes them buy now?
UnverifiedServicing backlogs, slow underwriting and manual document chasing; regulatory/audit pressure on AI.
Workflow: what inputs become what output?
Agents request and ingest borrower documents, spread financials and draft credit memos, track covenants and servicing requests, escalate breaches; custom agents built from SOPs or screen recordings.
Economics: what it saves and how it charges
Claims 5x faster underwriting, 8x analyst efficiency, <10 days to close, 6,500 loans serviced per FTE.
Distribution: how it reaches customers
Demo-led enterprise sales to banks (Request Demo), SOC 2 Type II and trust center.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2026 | — | 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.