We’re the team behind Rejoy Health, an AI search engine built specifically for doctors. We launched it to solve a frustrating but critical problem: Clinicians spend too much time searching through dense PDFs, outdated databases, and fragmented resources to find reliable answers to clinical questions, especially at the point of care.
With a new medical paper published every ~30 seconds, it’s impossible to keep up. Rejoy lets doctors ask questions in plain language (e.g. “How do I manage atrial fibrillation in elderly patients?”) and get trusted, evidence-based answers with linked sources in seconds.
Think of it as a conversational interface(ChatGPT for doctors)to the medical literature, with citation transparency built in.
We're not trying to replace doctors or provide medical advice to patients, just reduce cognitive load and help them move faster with information they can trust.
Some quick points:
* Trained and tuned specifically on high quality, peer reviewed medical content
* Used by 50,000+ physicians so far
* Enterprise deployments support on-prem or VPC, for health systems that need full control
We’re focused heavily on verifiability (everything is sourced) and safety (reliable fallback answers > hallucinated ones)
Would love your feedback on everything—from the retrieval stack to deployment, use cases, and UX. Happy to answer questions about how we built it or how clinicians are actually using it day to day.
Thanks!
Rejoy Health Team
datafog•6mo ago