What it sells
AI-powered Patient Identification for Clinical Trials
Business model breakdown
Buyer: who owns the budget?
UnverifiedSite research director / clinical research coordinator team.
Trigger: what makes them buy now?
Manual chart reviews to find eligible patients are slow and cause screen failures and delayed enrollment.
Workflow: what inputs become what output?
Connect to the EHR, encode trial eligibility criteria, AI prescreens records, delivers daily ranked matches with chart evidence for staff to qualify.
Economics: what it saves and how it charges
Success fee per patient with no upfront cost; value math: scans 80,000 patients to find the 42 eligible.
Distribution: how it reaches customers
Demo-led (Schedule Demo) with limited-time offer for 20 new sites per quarter and EHR integration in 1 week.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 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.