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openevidence uses vercel to scale its AI medical search

openevidence relies on vercel and next.js to serve 650,000 doctors while cutting serverless costs.

openevidence uses vercel to scale its AI medical search — image from Vercel
Image: Vercel

Summary

openevidence uses vercel and next.js to run its AI medical search platform for 650,000 doctors. The team cut serverless spending by 90 percent using fluid compute. The platform also supported over 20 million clinical consultations in january 2026.

What changed

  • reduced serverless spend by 90 percent with fluid compute on vercel
  • served medical search applications for 650,000 doctors using next.js
  • supported over 20 million clinical consultations in january 2026
  • completed production deployments in about five minutes

Availability

Available now

“OpenEvidence supported more than 20 million clinical consultations in January 2026 .”

Founder takeaway

if your team builds AI tools with next.js, evaluate managed infrastructure options that let multiple requests share running function instances.

Source

VercelHow OpenEvidence scales medical search for 650K doctors | Customers | Vercel

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