We build clinical-AI systems clinicians can actually trust — and the FHIR-native infrastructure beneath them. Hire our team, embed our Clinical Reasoning API, or put our network of practicing physicians in your loop. US clinical leadership. Senior engineering. Proven in live practice.
One engine, one clinical talent base — met at whatever altitude fits your team.
Embed cited, evidence-based clinical reasoning through our API — or have us build the clinical features end to end. FHIR-native, patient-data aware, validated in live use.
Build on the platform →We design and ship healthcare applications, EHR integrations, and clinical data platforms — led by clinicians who know the workflow, not engineers learning it on your time.
See our engineering →Our empaneled Clinical Network reviews, validates, and verifies clinical AI — model-output review, edge cases, and expert evaluation, from practicing specialists.
Meet the network →Building a medical AI? Get a free pilot review from our physician panel — see our quality before you commit.
Most healthcare software is built by engineers learning medicine on your timeline. We started in the clinic, not the cubicle.
Anyone can wire up a model. The hard part is the evidence and the clinician behind the answer — connecting the right sources and the patient's own data to the right question, then having a qualified clinician verify the result. We build the systems that connect both: verified, cited, and safe to act on. That's the product — not an afterthought.
Hire the expertise, embed the engine, or put real clinicians in your loop — each strengthens the others.
We design, build, and validate healthcare software end to end — led by clinicians who know the workflow.
The clinical reasoning engine behind the systems we build — exposed so your team can embed it, not rebuild it.
An empaneled network of physicians who review, validate, and verify clinical AI — the human layer that makes trust real.
We lead with clinical AI — but the infrastructure around it is table stakes we handle in-house, not subcontract.
FHIR R4/R5, HL7 v2, C-CDA, SMART-on-FHIR. EHR integration across Epic, Cerner, Athenahealth, and more.
Clinical data pipelines and unified data layers on AWS, Azure, or GCP — claims, labs, pharmacy, SDoH.
Grounded RAG, ambient documentation, coding assistance, and NLP — with governance and explainability.
Web and mobile applications clinicians actually use, from discovery through launch and support.
Dr. Ninad Mishra — formerly of the CDC, educated at Harvard and Stanford — leads Anuvansh's clinical and AI direction. A physician and informatician who builds healthcare AI applications and platforms, he's spent his career building clinical systems that hold up under real clinical load — in production, at the point of care.
Every system we ship is owned by someone who understands the clinical stakes, not just the code. That's the difference between software that demos well and software clinicians actually trust at the point of care.
We serve as the clinical-AI engineering team behind our partner company Krishmatics, designing and shipping a clinical reasoning platform now live in production across India — FHIR-native and validated in daily clinical practice.
It's the proof behind everything on this page: the same engine we expose through our API, and the same clinician-in-the-loop discipline we bring to every engagement.
Whether you want a partner to build it, an engine to embed, or clinicians in your loop — start with a conversation.