CLIQUE
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On-Premise AI Orchestration

The Operating System for Hospital Compute

Your hospital already owns the hardware. Your teams already have the AI. Clique is the missing layer that makes them work together — without moving a single byte to the cloud.

90% of hospital servers sit idle
$2.4M avg. annual cloud spend per AMC
0 GB patient data leaves the hospital
Scroll

Hospitals are bleeding money
on compute they already own

~10%

Server Utilization

Hospital servers run at a fraction of capacity. IT provisions for peak load, and the rest depreciates as pure cost.

2-3x

Cloud Markup

Egress fees, compute markup, and compliance overhead make cloud AI economically punishing for healthcare.

Siloed

Fragmented Compute

Departments hoard GPUs with no safe way to share, schedule, or audit workloads across the organization.

Hospitals don't need more hardware. They don't need another cloud contract. They need an operating system for the infrastructure they already own.

One platform. Two sides.
Zero trust required.

Clique OS
Discovery Auto-inventory all CPUs, GPUs, storage
Scheduling Clinical-priority-aware orchestration
GPU Partition NVIDIA MIG for performance isolation — one GPU, many workloads
DICOM Bridge Native PACS integration for clinical AI
Remote Attestation Cryptographic proof of enclave integrity before data enters
Confidential Compute Intel TDX + AMD SEV-SNP + NVIDIA H100 CC
Dashboard Utilization, savings, compliance status

See everything. Control everything.

Clique Control Plane
Overview
Workloads
Resources
Compliance
Settings
GPU Utilization 87%
Active Jobs 24
Cost Savings $41K
WorkloadPriorityGPUStatus
Stroke Detection v3CriticalA100 #2Running
Path. Slide AnalysisHighA100 #1Running
Research — Cohort 7BatchV100 #3Queued
NLP Discharge NotesHighA100 #1 (MIG)Running
Total Workloads 31
Queued 7
Avg. Latency 48ms
WorkloadDepartmentRuntimeStatus
Stroke Detection v3Radiology2h 14mRunning
Path. Slide AnalysisPathology6h 02mRunning
Chest X-Ray TriageEmergency0h 47mRunning
Genomics PipelineResearchQueued
GPUs Online 6 / 6
CPU Utilization 62%
Storage Used 184TB
DeviceTypeMIG SlicesHealth
A100 #1NVIDIA A100 80GB3g.20gb × 2Healthy
A100 #2NVIDIA A100 80GBFull deviceHealthy
V100 #1NVIDIA V100 32GBN/AHealthy
V100 #2NVIDIA V100 32GBN/AStandby
HIPAA Status Compliant
Enclaves Attested 6 / 6
Audit Events 12,847
CheckFrameworkLast RunResult
Data residencyHIPAA2 min agoPass
Encryption at restSOC 25 min agoPass
Enclave attestationTEE1 min agoPass
Access control auditHIPAA12 min agoPass
Scheduling Policy Clinical > Research > Batch
GPU Partitioning MIG enabled on A100 #1
DICOM Endpoint pacs.hospital.internal:11112
Attestation Interval Every 60 seconds
Audit Log Retention 7 years (HIPAA)

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 idle servers to
AI-ready infrastructure in weeks

01

Deploy Agent

Lightweight agent installs on existing servers. Discovers and inventories all heterogeneous compute — CPUs, GPUs, storage — in hours, not months.

02

Connect Workflows

DICOM bridge integrates with your PACS. Radiologists and pathologists see AI results in their existing tools. Zero workflow disruption.

03

Configure & Secure

Define TEE boundaries per workload. Hardware attestation verifies enclave integrity. AI vendors deploy models into sealed environments.

04

Orchestrate

Clinical-priority scheduling goes live. Stroke detection preempts research batches. GPU partitioning serves multiple workloads. Utilization goes from 10% to 70%+.

clique-cli
$ clique init --discover
Scanning network for compute resources...
  Found: 4x NVIDIA A100 · 2x V100 · 128 CPU cores
  Storage: 48TB NVMe · 220TB SAN
Hardware inventory complete
$ clique schedule --priority clinical
Priority scheduler activated
  Policy: clinical > research > batch
  MIG: A100#1 partitioned → 3g.20gb × 2
$ clique status
  GPU util: 87% ↑ from 10%
  Jobs: 24 active · 3 queued
  Savings: $41,200 /month
All enclaves attested · HIPAA compliant

The math is simple

ROI Model: 500-Bed Hospital

Current Cloud Cost (annual)

GPU inference (200K slides × $1.20) $240K
Egress fees (500 TB × $0.09/GB) $45K
Managed services + compliance $65K
Total cloud spend $350K

With Clique (annual)

Clique platform license $48K
On-prem GPU amortized (5yr) $8K
Power, cooling, rack space $18K
Total on-prem spend $74K
~$276K Net savings / year
·
~3 mo Payback period
·
79% Cost reduction vs. cloud

Built for the demands of

HIPAA GDPR SOC 2 Type II DICOM Native NVIDIA MIG TEE Supported

Your servers are running at 10%.
Let's fix that.

Currently onboarding design partners in the Bay Area and Northeast