Scattered across every corner
Guidelines, drug rules, genetic data, traditional medicine - each lives in its own silo. Nothing reliably connects them.
Now in early access · Built for healthcare worldwide
The knowledge layer of healthcare.
Healthcare knowledge is scattered, inconsistent, and hard for software to use. We build the shared, trusted version any system can read. Built once. Used everywhere it's needed.
The problem
Clinical knowledge is rebuilt by everyone. Correctly by almost no one.
Locked in PDFs and spreadsheets
Most healthcare knowledge sits inside documents and expert heads. Software can't reason over that - it needs structured, machine-readable data.
Rebuilt by everyone, separately
Every hospital, pharma team, and AI builder rebuilds the same knowledge from scratch. Separately. Inconsistently. At huge cost.
Healthcare knowledge means different things in different systems.
Ask the same question across five healthcare systems. Five different answers come back.
- Hospital EMRApproved · 2023
- Pharmacist toolRestricted
- AI copilotLikely safe
- Care protocolRefer to MD
- National registryNo record
Five answers. The clinician has to reconcile. The AI guesses. The patient bears the cost.
Approved · regulator-of-record · v2026.07
Sourced, jurisdiction-stamped, version-pinned. The same answer in every system that reads from the substrate - and the same answer an auditor can trace three years from now.
The product
A Knowledge Asset is not a dataset, a database, or a document.
It's a structured bundle of healthcare knowledge - jurisdiction-aware, with every fact traceable to a source. Built once. Used by any system that needs it. The deep answer - what really is it, and how does it change the way you operationalise healthcare - sits on its own page.
Read the long answerWhat really is a Knowledge Asset, and how does it change the way you operationalise healthcare?Who it's for
Built for everyone in healthcare.
Clinical providers
Clinicians, nurses, pharmacists, mental-health providers - knowledge at the point of care.
Clinical care · Mental health · Pharmacy
Hospitals & institutions
Health systems, diagnostic labs, primary care, rehabilitation - AI grounding, accreditation prep, infection control.
Clinical care · Operations · Diagnostics
Research & academia
Academic medical centres, research institutes, genomics and precision medicine companies, clinical trial sponsors.
Research & genomics · Precision · Diagnostics
Pharma & biotech
Regulatory intelligence across markets, post-market safety, technology assessment, and pricing - for pharma, biotech, and devices.
Regulatory · Economics & policy · Pharmacy
AI & health tech
AI builders, digital health, EHR vendors. Grounded clinical knowledge - so AI reasons correctly instead of making things up.
Any cluster · queryable from your stack
IT services & system integrators
IT services, system integrators, and healthcare consultancies building solutions for hospitals, payers, and pharma clients. Knowledge they embed - not knowledge each client team has to research from scratch.
Any cluster · embed in client deliverables
Payers & government
Health insurers, PBMs, health ministries, public health agencies, global health organisations - claims rules, surveillance, coverage logic.
Economics & policy · Public health · Global health
Jurisdiction
Same question. Jurisdiction-aware answers.
Healthcare rules vary by jurisdiction - what's approved, scheduled, or restricted. Every answer carries the jurisdiction it applies to. When rules conflict across markets, we say so - we don't quietly pick one.
One substrate. A jurisdiction-stamped answer per market.
The same question, asked under three jurisdictions, returns three different answers. The substrate keeps the jurisdiction context with the answer - never resolves it silently.
Input · queryA regulated question - the kind whose correct answer depends on where it is asked.
#OverlayStamped outcome
01Jurisdiction · A
Permittedwith constraint set α
02Jurisdiction · B
Conditionalvia approval pathway β
03Jurisdiction · C
Restrictedunder scheme γ
Base layerGlobal coreShared substrate underneath every overlay - jurisdiction-neutral.
Different answer per market - and the difference is declared, not silently resolved.
How we work
Three commitments behind every Knowledge Asset.
Every fact traces back to a source
Every entity, every relationship, every claim carries where it came from. Nothing asserted without a citable reference - so a regulator, partner, or auditor can verify anything we ship.
Pinnable, replayable, diff-able
Every release stays available. You pin to a version and upgrade on your own schedule. The before-state, after-state, and the reason for every change are queryable - the audit trail is the work itself.
Answers stamped with the jurisdiction they apply to
Healthcare rules vary by jurisdiction. Every answer carries the jurisdiction it applies to. When rules conflict across markets, we surface the conflict - we don't quietly pick one.
Get early access.
We're onboarding a small first cohort - AI builders, hospitals, pharma teams, research groups. Tell us where you operate and what you're building.