Clinical intelligence, by agents

Turn fragmented clinical data into intelligence.

Patient data arrives as voice, scanned PDFs, paper and legacy screens. Each agent takes one source, structures it, and feeds a single clinical intelligence layer.

One record · Multiple agents

You can watch it reason.

Scribe
DRAFTING…
· transcript · aligned
· entities · 7 found
REASONED 1.1S
RESULT
SOAP note drafted
Coder
CODING…
· dx · mapped
· ICD-10 · resolved
REASONED 0.8S
RESULT
ICD-10 · C50.9
Trials
MATCHING…
· screen · 42 trials
· eligible · stage II ER+
REASONED 1.4S
RESULT
2 trials matched
Risk
CHECKING RX…
· scan · active meds
· CYP2D6 · inhibitor
REASONED 0.6S
FLAGGED
Drug interaction
FHIR
BUNDLING…
· resources · built
· bundle · validated
REASONED 0.9S
RESULT
5-resource bundle
Every output carries its reasoning — and the one risk worth flagging is caught.

The team

An agent for every kind of messy data.

Each one takes a single fragmented source (a voice, a scanned PDF, a lab printout) and hands back something structured a clinician can review and confirm.

The full clinical stack (documentation, decision support and data) on top of any EMR.

The team isn't fixed.

Every agent is defined on the same operating system, so a new one for your workflow ships in days, not quarters. Name the job; we build the agent.

The rule every agent follows

AI perceives
the rules engine decides
the clinician confirms

See them work

Watch an agent do the job.

Pick one, see exactly what goes in and what comes back, in motion.

Oncology Agent · NCCN Breast v3.2026
CASE
Ca. breast · invasive ductal
Stage II · T2 N0 M0
RECEPTOR STATUS?
HER2+
ER+ / HER2−
TNBC
RECOMMENDED · GUIDELINE-CONCORDANT
Endocrine therapy + CDK4/6 inhibitor

See the platform that runs them.

Every agent runs on one operating system, Health Hub, delivered through a browser extension that overlays the agents onto your existing EMR. The integration story, the safety model and network rollout live on the platform.