The Operating System for Hospital Compute
Clique is software that installs in the hospital data center and schedules AI workloads across the CPUs, GPUs, and storage already sitting there. IT gets a live control plane; clinicians get a no-code model trainer. Patient data never leaves the building.
The same engine,
a UI shaped to the job.
Control Plane
A dense, real-time view of every GPU, workload, vendor container, enclave, and audit event in your hospital — with role-scoped views for Clinician, IT, and Researcher.
- Live telemetry across every node, partition, and workload — one pane of glass.
- Continuous HIPAA and SOC 2 checks with one-click PDF export for auditors.
- Emergency priority lane that preempts batch jobs for outbreaks and clinical urgency.
Studio
Drag in a labeled dataset, pick the task, and Clique auto-configures the pipeline and trains the model in a self-spinning container. No code. No config files. No DevOps.
- Drop a labeled dataset, pick a task type — segmentation, classification, detection.
- Auto-configured pipeline with nnU-Net-inspired heuristics; live training you can watch.
- Versioned artifact handed off to IT for review, deployment, and audit trail.
Hospitals pay twice: idle servers
at home, rented GPUs in the cloud
Server Utilization
Hospital servers run at a fraction of capacity. IT provisions for peak load, and the rest depreciates as pure cost.
Cloud Markup
Egress fees, compute markup, and compliance overhead make cloud AI economically punishing for healthcare.
Fragmented Compute
Departments hoard GPUs with no safe way to share, schedule, or audit workloads across the organization.
Hospitals don't need more hardware or another cloud contract. They need software that finds every idle GPU in the building, schedules AI jobs onto it by clinical priority, and proves to compliance that no patient data ever left.
One platform. Two sides.
Zero trust required.
See everything. Control everything.
Hospitals don't need more hardware. They don't need another cloud contract. They need an operating system for the infrastructure they already own.
From 10% server utilization
to 70%+ in weeks
Deploy Agent
Lightweight agent installs on existing servers. Discovers and inventories all heterogeneous compute — CPUs, GPUs, storage — in hours, not months.
Connect Workflows
DICOM bridge integrates with your PACS. Radiologists and pathologists see AI results in their existing tools. Zero workflow disruption.
Configure & Secure
Define TEE boundaries per workload. Hardware attestation verifies enclave integrity. AI vendors deploy models into sealed environments.
Orchestrate
Clinical-priority scheduling goes live. Stroke detection preempts research batches. GPU partitioning serves multiple workloads. Utilization goes from 10% to 70%+.
The math is simple
ROI Model: 500-Bed Hospital
Current Cloud Cost (annual)
With Clique (annual)
Built for the demands of