Integrate Once. Run Every Model.
The orchestration layer for clinical AI at enterprise scale.
Why most clinical AI never reaches the patient
Four friction points stall every model on its way to production, and each one compounds the next.
Source: Gartner, 2024
Source: HIMSS, 2024
Source: KLAS, 2024
average deployment time per model, model after model.
Industry Benchmark
The pipeline your team builds once
A governed pipeline that streamlines AI deployment across every service line, model, and vendor.
EMR / RIS
HL7 records & reports
Imaging
DICOM metadata stream
REST APIs
JSON payloads & metrics
Systems
Clinical feedback loops
Intelligent Clinical Delivery
Integration Engine
HL7 notifications
AI Gov Console
Governance + observability
Enterprise Comms
SMTP · SMS · SSO
Imaging (PACS)
Result overlay
Orchestrate
Manages the AI inference lifecycle: fetching prior studies, running compute, and verifying system timing, automatically, every time.
Close the Loop
Delivers DICOM results to PACS and HL7 notifications to the physician's native clinical viewer, no extra app, no extra workflow.
Runs inside your environment. On infrastructure you control.
The Fabric runs as a four-stage pipeline inside your environment, connected once, reused for every model. Deploy on-prem or in a single-tenant cloud you control
One Fabric. Every model. Your infrastructure.