Evidence-grounded medical intelligence
Where evidence
meets intelligence.
Evidenceo builds the intelligence layer for clinical practice — a cited encyclopedia, a doctor-facing evidence agent, and hospital deployments. Built for medicine, from first principles, in India.
Ask a clinical question.
Get an answer you can follow to the source.
The doctor-facing agent drafts an answer, grades what's missing, and goes back for the evidence it's short on. Click any citation and land on the exact page of the exact reference — not a bibliography. And when there's no evidence, it says so.
- Cited, streamed answers
- Live reasoning trail
- Image + PDF understanding
- In-line clinical calculators
- Conversation memory
- Retrieve
- Rank
- Ground
- Cite
Baseline before starting: thyroid and liver function, a chest radiograph, and a review of QT-prolonging or interacting drugs.1
During therapy: periodic TFTs and LFTs, ECG for QT and bradycardia, and pulmonary review if new dyspnoea or cough appears.2
In reduced EF, amiodarone is generally preferred over agents with greater negative inotropy for pharmacologic rate/rhythm control.3
High confidence · 3 sourcesMedicine is drowning in information.
Doctors, students and researchers face the same signal-to-noise crisis in three different rooms. Evidenceo is the layer that clears it — without ever inventing an answer.
Clinical practice
- Information overload
- Time-critical decisions
- Fragmented evidence
Medical education
- Passive learning
- One-size-fits-all
- No personalisation
Antimicrobial stewardship
- Local resistance patterns
- Guideline sprawl
- Bedside time pressure
Four surfaces.
One evidence backbone.
Atlas, clinic.atlas, the Hinduja guide and Isaac share one corpus and one retrieval engine — so practice, education and stewardship finally speak the same language.
Atlas
The cited medical encyclopedia.
A members-only encyclopedia compiled from cited primary sources. Every claim links back to the exact page of the exact reference — not a bibliography at the bottom.
- Per-claim citations to raw PDFs
- Postgres full-text + trigram search
- Cross-reference graph
- Grounded diagrams
- 37-section drug monographs
Nothing is written by the model just generating.
Every page is a contract-gated agent call with a separate verifier pass, and safety-critical claims wait for a clinician. The wiki is additive on immutable raw sources — a librarian who writes index cards, never replacing the books.
Ingest
A source PDF is added append-only. Raw sources are immutable — removing one reverse-ingests every page that leaned on it.
Write
Every wiki write is a contract-gated agent call, never free generation. Each factual sentence must anchor to a source or it does not ship.
Verify
A separate verifier agent, with a clean context, re-checks the work before anything publishes. “Looks done” is not a completion signal.
Review
Safety-critical claims — dosing, contraindications, interactions, adverse effects — are held for a clinician to sign off. Background facts flow automatically.
Counted from the codebase, July 2026. We publish only numbers we can point at.
To make evidence-based medicine the path of least resistance — augmenting clinical expertise, cutting cognitive overload, and keeping every answer accountable to a source.
Forces converging into one moment.
Knowledge explosion
Medical literature grows faster than any clinician can track unaided.
Models that reason
Foundation models finally handle the nuance real clinical questions demand.
Decision fatigue
Documentation and decision load sit at an all-time high across health systems.
Scalable education
The next generation of doctors needs adaptive, personalised learning at scale.
Accountability
AI in medicine without rigour is a liability. Citations and human review are the answer.
Global inequality
Evidence-grade tools stay locked inside elite institutions. That can change.
A staged build toward a medical operating layer.
Live
Cited encyclopedia + evidence agent
Atlas and clinic.atlas in production, corrective-RAG on the answer path.
Live
Hospital deployment
The Hinduja antimicrobial guide — an institution's own antibiogram, in clinicians' hands.
In build
Claim-native knowledge base
Atomic, structured claims as the unit of truth — each with its own evidence and supersession.
Next
Unified intelligence layer
One backbone across practice, education and research, opened to more institutions.
A quiet promise about
how we answer.
Medical AI without rigour is a liability. Every layer is built to be auditable, and to fail safe.
- Every claim carries a citation you can open — no source, no sentence.
- When there's no evidence, it says so, instead of guessing.
- Hallucinated citations are stripped and the answer is flagged — not papered over.
- Safety-critical claims wait for a clinician to sign off before they publish.
- Only allowlisted, authoritative sources are citeable.
- Self-hosted end to end — database, auth, storage and search on infrastructure you control.
Not a substitute for clinical judgment. Handle patient identifiers with care — don't paste them into prompts.
Clinicians and engineers, building side by side.
NMC-verified access, ICMR guidelines as a first-class source, UPI billing, and a live hospital deployment in Mumbai. Not adapted for India — built here.
Co-founder
Dr. Sahil Langde
CEO, Physician & Co-founder
A physician-founder shaping Evidenceo's clinical vision — bridging bedside medicine with an evidence-native infrastructure.
Co-founder
Dr. Niladri Bhusan Mishra
CTO & Co-founder
Architecting the intelligence layer — the retrieval engine, data model, and agent runtime behind the product family.
Join the next generation of
medical intelligence.
Early access is opening for doctors, students, residents, researchers and institutions. Be among the first to shape it.
No spam. Evidenceo Healthcare LLP · Sangli, Maharashtra.