What it sells
AI RCM. Increase net revenue by 16%.
Business model breakdown
Buyer: who owns the budget?
UnverifiedRCM/billing leaders and practice administrators.
Trigger: what makes them buy now?
Payers using AI to deny claims, aging A/R, only 5-10% of encounters manually audited.
Workflow: what inputs become what output?
Reviews encounters pre-bill, flags coding errors/underpayments, drafts cited denial appeals, tracks them.
Economics: what it saves and how it charges
Priced on monthly encounter volume with annual agreement; claims 67% of denials recoverable and 16% net revenue increase.
Distribution: how it reaches customers
Demo-led with free revenue-recovery assessment (initial findings within 7 days).
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Fall 2024 | — | 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.