HealthCloud provides the infrastructure, intelligence, and application layers that every health system, startup, and research organization needs to build, deploy, and operate clinical AI safely and at scale.
10M+
Patients Served
active patient records
180+
Integrations
FHIR-native connectors
520+
AI Models
production clinical models
75+
Deployments
live health system deployments
To become the operating system for healthcare AI — giving every health system, startup, and researcher the infrastructure to build, deploy, and scale healthcare applications safely, quickly, and in full regulatory compliance.
Three integrated layers that work together to accelerate clinical AI from idea to production.
HealthCloud connects the entire healthcare value chain through verified, standards-based partnerships.
UPMC
Integrated delivery network serving 4M+ patients
Cedars-Sinai
Pioneer in digital health and AI innovation
Boston Children's Hospital
Leading pediatric FHIR API deployment
Quest Diagnostics
8B+ diagnostic tests processed annually
LabCorp
Direct FHIR R4 lab ordering and results
T-Mobile
5G edge nodes for real-time clinical inference
Samsung Health
Galaxy Watch + Health Monitor integration
Amazon Web Services
HIPAA-eligible infrastructure partner
Uber Health
Non-emergency medical transport FHIR integration
Infrastructure, not just software. We absorb the hard problems so clinical teams can focus on outcomes.
Pre-built FHIR connectors, compliance guardrails, and reference architectures eliminate months of infrastructure work. Most teams ship their first production deployment in under 4 weeks.
Every asset, API, and workflow is FHIR R4 from the ground up — not a wrapper over legacy HL7. Your data is always standards-native, queryable, and shareable across the full national network.
HIPAA BAA, SOC 2 Type II audit, HITRUST CSF, and FDA SaMD readiness documentation are included in every enterprise tier. We absorb the compliance complexity so you can focus on outcomes.
Join 130+ health systems and 2,000+ developers already building the future of clinical AI.