What it sells
The AI-Native Decision Layer for Health Insurance
Business model breakdown
Buyer: who owns the budget?
UnverifiedEmployers/HR leaders (ICHRA), families choosing plans, and clinic revenue-cycle/physician staff.
Trigger: what makes them buy now?
Unpredictable group-plan renewals and open enrollment; clinics losing revenue on denied claims (11.5% of MA denials appealed vs 80.7% overturned, per KFF cited).
Workflow: what inputs become what output?
Companies: ICHRA - set one monthly allowance per employee computed from pricing every filed plan in the county, employees pick plans, licensed agent enrolls. Clinics: Inveto handles prior auth and denial appeals with intake, cited drafting, physician review, staff-controlled submission, follow-up, outcome reporting.
Economics: what it saves and how it charges
Claims ~$5,000 saved per employee per year (projected) and ~$150,000 recovered per hospital per year; revenue model not stated (likely agent commission/SaaS).
Distribution: how it reaches customers
Demo-led ("Book a demo", pilot email) plus free audit lead-gen tools and an ICHRA demo.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Summer 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.