The name
Agnivesha (अग्निवेश) was the foremost of the sage Atreya's six disciples — and, as far as the record reaches, the first physician to write medicine down. His treatise, the Agnivesha Tantra, was later revised by Charaka into the Charaka Samhita, the foundation text of Ayurveda. Medicine's oldest surviving record begins with his name.
That is the whole idea of this product. A hospital or laboratory is, before anything else, a keeper of records that must be captured precisely, kept faithfully, and passed on intact — from one shift to the next, one doctor to the next, one generation of caregivers to the next. We took the name of the man who did it first.
The mark
Our mark tells the same story. The flame of Agni — saffron for the ancient fire, blue for the digital age — cradles a mortar and pestle, medicine's oldest instrument, holding today's medicines. And a leaf curves around them into a shield: care that also protects. Old wisdom, new tools, one flame.
Where it comes from
Agnivesha HealthOS is built by Anamay, and it grew up the honest way: on the floor of a working diagnostic laboratory, migrated off a legacy LIMS, processing real bookings, real samples and real reports every day. Features earn their place by surviving a real front desk — not a requirements document.
How we work
Proof over promises. Our demos are the product itself — seven live demo institutions, one per plan, with one-click role logins. What you click is what you buy.
Code-verified claims. Every number in our sales material is measured from the codebase. When we found stack claims in an old document we couldn't verify, we deleted them and rebuilt the collateral from a fresh inventory.
Honest by default. Our feature books carry transparency notes that say what is still roadmap — ABDM production keys, app-store listings — instead of rounding it up to “done”.
Guardrails on intelligence. AI in Agnivesha accelerates routine work; it never takes the clinical decision. Triage scores go to a human review queue, auto-verification touches normal results only and stays behind a pathologist-controlled switch, and every AI call is PII-scrubbed, metered against a budget, and logged for audit.