What it sells
AI agents for your healthcare back-office operations.
Business model breakdown
Buyer: who owns the budget?
UnverifiedRevenue cycle / billing leaders at provider groups (e.g. orthopedic practices).
Trigger: what makes them buy now?
Payers using AI to deny claims; prior auth takes ~15 hrs per practice per week; denials left unworked lose revenue.
Workflow: what inputs become what output?
Agent follows the practice's documented payer rules, works inside EHRs, payer portals, PDFs and desktop apps to submit prior auths, check claims, draft denial appeal packages and follow up with payers; exceptions routed to humans.
Economics: what it saves and how it charges
Replaces staff time: case study claims appeal cost drops from ~$20 to ~$5 staff time per appeal, 25-40 min to 5 min, and 50% more appeals won at 1/4 the cost. Pricing model not stated.
Distribution: how it reaches customers
Sales-led ("Get in touch", demo video), case studies and guides.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Fall 2025 | — | 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.