Foundry
The Palantir of Healthcare
Overview
Foundry is the data and intelligence substrate powering IndependenceOS - a Palantir-style operating system for healthcare. It unifies every clinical, operational, and financial signal into a single, living ontology - transforming messy, siloed data into a continuously learning "digital twin" of the healthcare system.
Target Audience
Health Systems & MSOs
Seeking unified visibility across hundreds of independent clinics
Payers & Regulators
Who need real-time quality, HEDIS, and cost metrics from the field
Physician Networks
Who want analytics and automation, not dashboards
Data Engineers & AI Teams
Who need clean, lineage-rich healthcare data to build agents safely
Forward-Deployed Teams
Connecting real-world operations to AI decision loops
Key Challenges We Solve
Data Chaos
20+ EMRs, RCM tools, and claims systems unified through one semantic model.
Rearview Analytics
Insights go live in under 24 hrs; operational feedback closes the loop instantly.
Compliance Bottlenecks
Row- and field-level governance baked into every query and API, with full lineage.
How It Works
The 30-Day Machine
Data Foundation
Immutable, versioned data ingestion across clinical, claims, and operational sources. Every change is tracked, auditable, and time-travel enabled
Ontology Layer (Healthcare's Rosetta Stone)
Maps raw data to real-world objects - Physicians, Patients, Claims, Encounters. Enables semantic queries like: "Show all pediatric asthma visits within 5 miles of Houston with >2 denials."
Build System (HyperAuto for Healthcare)
DAG-based data pipelines with validation, branching, and version control. Analysts can test changes safely and deploy in hours, not weeks
Citadel Layer (Security Kernel)
Every dataset carries its own classification - Confidential, PHI, De-Identified. Permissions propagate automatically through every join and transformation
Operational Endpoint (Closing the Loop)
Actions framework lets agents write back into source systems (eCW, Athena, payers) - safely executing approved workflows
Results & Metrics
Analytics → deployment → operational feedback = <48 hrs
Cycle Time
9+ practices, 2M+ patient encounters unified under one ontology
Data Scale
99.99% uptime, zero-downtime releases
Reliability
Row-level PHI controls; lineage from screen to source file
Security
15–20% faster diagnostic accuracy, 10% RCM uplift, 30% fewer data sync errors
Impact
Roadmap
Foundry Core GA
UpcomingQ1 2026
Live for 50+ practices; unified ontology + observability dashboards
Graph AI Layer
UpcomingQ2 2026
Connects HEDIS, payer, and patient outcomes into one reasoning graph
Autonomous Data Agents
UpcomingQ3 2026
Agents detect anomalies, drift, and clinical opportunities automatically
Federated Ontologies
UpcomingQ4 2026
Each specialty cloud (Pediatrics, Cardiology, Mental Health) gains local control under global governance