What it sells
The AI operating system for radiology networks
Business model breakdown
Buyer: who owns the budget?
Radiology network and clinic operators (testimonial from the CEO of Partnered Health).
Trigger: what makes them buy now?
Over 30% of patient calls to clinics are abandoned, and complex radiology bookings get handed to humans (about page).
Workflow: what inputs become what output?
Voice AI, online self-booking and GP eReferrals feed skills-based scheduling into the RIS, then Avoca sends reminders and prep instructions, collects patient intake forms, and delivers results via a patient portal.
Economics: what it saves and how it charges
Claims 86% call resolution rate and scale without added headcount; pricing model not shown.
Distribution: how it reaches customers
Demo-led ('Get a demo', 'Talk to our team'), integrates directly with the customer's RIS.
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.