The context engine for healthcare AI.

Clinia Context Engine turns fragmented health data into a trusted, reasoning-ready view of a patient. So healthcare’s most abundant resource finally becomes its most usable.

  • ~ 33%

    less tokens per accuracy point

  • 25%

    more accurate responses than comparative approaches

  • 4x

    less hallucinations than comparative approaches

How Context
Engine works

Clinia Context Engine connects to your health data and agent interactions memory, ingesting raw structured and unstructured data through a REST API.

It then consolidates that data into a fully auditable patient context graph, normalizing, reconciling, deduplicating, and inferring the relationships and timeline between events, all grounded in clinical standards like SNOMED, LOINC, ICD-10, and RxNorm.

Agents consume the graph as a virtual file system they navigate with a set of primitive tools.

01Connect

Health data, ingested and normalized

02Consolidate

The patient record, built into a knowledge graph

03Serve

The patient story, made accessible to your AI

Live, traceable,
reasoning-ready.

The Context Engine keeps the record current as new events arrive, documents every decision it makes, and pre-assembles each condition into a readable story, so agents reason on dynamic, auditable context instead of querying a graph themselves.

  • Data Provenance 

    as a first-class entity:

    Traceability and auditability is not an afterthought, it is the default. Every system decision is documented and auditable.

  • Update the record 

    as the patient story unfolds:

    New patient data and agent interactions update the patient context in real-time so agents never reason on stale data.

  • Condition stories
    for temporal reasoning:

    Clinia Context Engine does the heavy lifting and pre-assembles everything about a condition (onset, medications, labs, etc) into one readable document, so agents never need to run complex graph queries.

Interfaces

Built for health AI builders

  • Developers

    A REST API for developers

    Ingest data to update the graph. Audit and inspect every decision the system made on every record.

  • Agents

    An MCP servers for agents

    Agents use a set of primitives to reason over a patient’s story, without bringing the whole record into context.

Self-serve onboarding

Get started immediately,
ready in under a minute

Create an organization, provision a workspace and make your first API call in under a minute. Use our web application or the Console CLI

Context Engine Studio

Explore Clinia Context Engine, locally

See Context Engine in action using your own data. Clone our open-source app, connect your workspace, and drop in your patient records. Watch Context Engine turn raw data into a cohesive patient story, powering accurate, personalized answers through a pre-built agent inside Context Engine Studio

Flexible deployments

SASS

Fully managed

Compliant by default. Go live without infrastructure overhead, we operate the platform end to end.

BYOC

Bring your own cloud

Deploy into your own VPC. Your data, your keys, your environment, always. Operated, monitored, and upgraded by us.

On-Prem

Your infrastructure, end to end

For organizations with strict sovereignty and compliance mandates. Air-gapped if you need it.

Evaluation-driven by design

We work continuously with clinicians across Canada and the US to encode clinical reasoning directly in the Context Engine’s knowledge graph.

01

Code-based graders

Context completeness, source attribution, deduplication accuracy.

02

Model-based graders

Consistency across queries, hallucination detection, and edge-case handling.

03

Physician review

Clinicians validate that the benchmark maps to clinical reality.

Customer Stories

Impact on the ground

Parents carry an enormous amount of their child’s medical history in their heads, mostly because doctors can’t easily pull it from wherever it’s actually sitting. What drew me to Clinia was the chance to bring those scattered records into one place that stays useful over time. That’s less time chasing down old records, more time on the care itself.

michael-hobbs-portrait-20260903 Michael Hobbs, MD Pediatrician | Expert in Health AI

Health data, turned into
a patient story