How OpenEvidence built a healthcare AI that physicians actually trust
OpenEvidence reports its clinical decision support platform handled over 20 million consultations in January 2026, serving physicians treating more than 100 million Americans annually.
Andy Yoon was scrolling through Slack when he saw the message: OpenEvidence had gone viral on TikTok. Not "gaining traction.” viral, reaching around two million views in less than a week. Actually This is usually when you rally the troops, spin up emergency capacity, and start making phone calls you really didn't want to make. Andy, Lead Frontend Engineer, did none of those things. Instead, he watched the numbers climb. He checked the logs—everything green. Response times: still fast. Error rates: still near zero. Then he went back to whatever he was doing before, because there was nothing to fix.
"Vercel has just completely scaled with that usage," he says. "We've never had it fall over due to capacity or had to provision anything extra. Just being able to trust that it's there, to the point where we don't really even think about it, is amazing." It was proof that they'd solved a problem most healthcare tech companies haven't figured out yet: how to move at startup speed while meeting hospital-grade reliability standards. The stakes are different for companies like OpenEvidence. If their product fails, it could result in someone making a bad medical decision. OpenEvidence is the…