What it sells
AI Automation for Therapy Practices
Business model breakdown
Buyer: who owns the budget?
UnverifiedPractice owners, operations and billing leaders at ABA, PT, speech/OT, infusion, imaging, home health groups and MSOs.
Trigger: what makes them buy now?
Heavy front-office workload and denied claims from manual referral intake, insurance verification and prior authorization.
Workflow: what inputs become what output?
AI agent pulls referrals from fax, portals and email, extracts patient data, runs eligibility and benefit checks, submits prior authorizations, monitors coverage changes and syncs to the EHR.
Economics: what it saves and how it charges
Software subscription (price not shown); pitch is more billable visits, less admin time and fewer denied claims; demo shows 98.2% verification rate and 12s average check.
Distribution: how it reaches customers
Demo-led ("Book a Demo") with a free coverage analysis lead magnet; built by a mental-health practice owner.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 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.