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Knowledge infrastructure

The infrastructure healthcare's knowledge never had.

Hospitals, pharma, and payers built infrastructure for their data years ago. The medical knowledge that data is meant to serve - the guidelines, policies, and protocols decisions actually depend on - still doesn't have any. Knowledge infrastructure is that missing layer: the certified foundation underneath your data, your context, and any AI running on top of both.

How it's built

One certified foundation. The whole knowledge-engineering stack.

Not a chatbot with a medical skin. Healthattica runs the full lifecycle - ingest, structure, certify, reason, govern - and turns your scattered sources into one certified knowledge graph you can query however you work. The interface is incidental - what matters is whether the answer is right.

Guideline ✓Dose ✓Contraindication ✓ConditionDrugPopulationEndpointLabel
certified○ resolving- relationship
IngestionEvery source, one pipeline
ExtractionFacts & rules from documents
Behavioural analysisWho changes it, and why
TerminologyStandard medical vocabularies
Knowledge graphStructured, connected, queryable
ReasoningInference over certified knowledge
CertificationHuman-verified and sealed
GovernanceMonitored, versioned, audited
AccessAPI, agents, and chat

This is the stack underneath Build → Certify → Run → Govern. We'll reveal more as we open access.

The layer, working

Watch scattered knowledge become certified.

Every source runs the same pipeline - ingested, structured, mapped to standard terminology, linked into the graph, certified by an expert, and sealed. This is that process, running.

◇ CERTIFICATION RUN · illustrative exampleNICE NG28 · Type 2 diabetes
Ingest
Extract
Map
Graph
Certify
Seal
-
Context as a service

What powers the knowledge infrastructure.

Every source you have gets pulled into one certified knowledge asset. Then we keep watching who changes it, and why - so it never goes stale.

Behavioural analysisrecurring - keeps source systems & the asset in syncSYSTEMS OF RECORDEHR & EMR systemsEpic, Cerner & other recordsLIS & LIMSLab & pathology systemsRegulatory feedsFDA, EMA, NICE updatesExpert & clinician inputReviews, corrections, sign-off···Agent Ecosystemextract → structurewho changed it, whyKnowledge AssetSYSTEMS OF INSIGHTEHR & CDSSPoint-of-care decision supportQMS & CAPADeviation & quality decisioningAgents & CopilotsMCP-native, cite-or-refuse···KNOWLEDGE INFRASTRUCTURE

Do this continuously, across every source you have, and you get knowledge infrastructure - not a one-time export, a foundation that keeps up with the people who keep it true.

OperationsDocumentsTerminology
Where we sit

The industry solved three corners of this. One piece was missing.

Some systems model your operations. Some govern your documents. Some standardize your terms. Each solves a real problem - none of them treats the certified fact itself as the unit of value. That's the piece we build.