Your healthcare data speaks every dialect. Stroma translates.

AI agents that autonomously map, translate, and route clinical data between HL7, FHIR, CDA, and legacy EHR systems. No integration engineers. No manual configuration. Data flows like it should.

Epic EHR
Lab Systems
Payer Network
Pharmacy
Telehealth
Registry
STROMA
The Problem

Healthcare runs on dozens of data formats that don't talk to each other.

70%
of providers still struggle with seamless data exchange across platforms
$35B
projected interoperability market by 2032, driven by regulatory enforcement
FHIR R5
mandated standards moving from encouragement to enforcement under the Cures Act
6-18mo
typical integration timeline with traditional middleware platforms like Redox or Rhapsody
What Stroma Does

Not middleware. An AI employee that handles your integrations 24/7.

Stroma agents understand clinical context. They don't just move bytes. They know what a lab result means, where it needs to go, and how to get it there.

Autonomous Mapping

Reads HL7v2, FHIR R4/R5, CDA, and proprietary schemas. Maps fields automatically using clinical knowledge, not hardcoded rules.

🔄

Self-Healing Pipelines

When a system updates its schema or a connection breaks, Stroma detects the change and adapts. No tickets. No downtime.

🛡️

Compliance Monitoring

Continuously validates against TEFCA, 21st Century Cures Act, and HIPAA. Flags information blocking before regulators do.

🧠

Context-Aware Routing

Routes data based on clinical urgency and context. A critical lab result gets priority over a routine demographics update.

📊

Anomaly Detection

Spots data quality issues, missing fields, and format drift before they become patient safety problems or audit findings.

🔌

Universal Connector

Plugs into Epic, Cerner, Allscripts, athenahealth, and any system with an HL7 or FHIR endpoint. One integration layer for everything.

Traditional Integration vs. Stroma

Traditional Middleware

  • 6-18 month implementation cycles
  • Requires HL7 integration engineers ($150K+/yr)
  • Static mapping rules that break on schema changes
  • Manual monitoring and incident response
  • Per-connection pricing that scales linearly

Stroma

  • Autonomous setup in days, not months
  • AI agents handle mapping, no engineers needed
  • Self-healing when schemas or endpoints change
  • 24/7 anomaly detection and auto-remediation
  • Flat pricing regardless of connection count

Healthcare data should flow like biology intended.

In tissue biology, stroma is the connective framework that holds everything together. In healthcare IT, we're building the same thing.