We deliver clinical-grade logic to clinicians and developers across the world.
Building infrastructure
Healthcare systems require a stable logic layer. We provide the infrastructure for this transition.
We keep the doctor's intent intact as it moves from bedside decision-making into payer, policy, and operational workflows.
Healthcare breaks down at the point where medical intent meets administrative requirements. Prior authorizations, medical necessity checks, and policy logic create a wall that delays care.
Traditional systems treat clinical and administrative data as separate worlds, leading to fragmented decisions and operational burnout.
EvidenceMD bridges this gap with medical precision for administrative efficiency.
EvidenceMD supports every role in the healthcare system through specialty and domain scoping.
The model router provides clinical-grade, financial-grade, and operational logic modes.
Every query is processed through router-based scoping to ensure accurate outputs for the clinical context.
Clinical-grade logic for diagnostic queries.
Financial-grade logic and cost-sensitive analysis.
Structured workflows and documentation scoping.
The future of healthcare consists of distributed tools built by clinicians and developers.
EvidenceMD provides the infrastructure required to power these applications with stable, cost-efficient medical logic.
We enable developers to build on a stable logic engine with citations you can verify.
Building the evidence clinicians trust.
Chief Medical Officer
Dr. Abishek Shahi brings Harvard-trained clinical rigor to EvidenceMD's foundation. As Chief Medical Officer, he shapes the clinical models and evidence frameworks that underpin the platform, ensuring every diagnostic pathway, treatment recommendation, and decision output meets the standards of real-world medical practice.

Medical Advisor, Internal Medicine & Obesity Specialist
Shailesh brings valuable clinical and healthcare industry expertise to EvidenceMD, advising on strategy, physician adoption, and the future direction of evidence-based clinical intelligence.
Explore the platform the team is building: transparent clinical reasoning, an evidence-based AI medical scribe, and an OpenAI-compatible medical AI API for developers.