Delta: HealthTech Innovators How OpenEvidence Became a $12 Billion AI Healthcare Giant | Full Breakdown
Feb 24, 2026
A fast-paced recount of how a math-and-poetry-trained founder tackled the medical information crisis. They trace the company's technical architecture, Mayo Clinic and NEJM validations, and rapid physician adoption. Funding rounds, product moves like AI scribe and clinical search, and monetization options are unpacked. The conversation closes with competitive risks and future exit scenarios.
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Perfect USMLE Was Both Proof and Marketing
- OpenEvidence scored 100% on USMLE, demonstrating knowledge retrieval and reasoning on exam-style tasks.
- The milestone doubled as a technical validation and a powerful trust-building marketing moment for physicians.
Make Adoption Zero Friction For Clinicians
- Get physicians to habitually use your product by removing friction: make it free, fast, and context-rich.
- OpenEvidence grew via free access, rapid answers (seconds), and a verification gate for clinicians (NPI requirement).
Adoption Velocity Drove Billion Dollar Valuation
- VCs valued adoption velocity and network effects over current revenue: fast organic physician growth signaled product-market fit.
- Sequoia led Series A at $1B because hundreds of thousands of verified doctors were using the platform.
