Protocol Translation
Bridge MCP, DICOM, FHIR, and legacy protocols to AI-consumable formats without custom code.
AI & ML Integration
Connect AI to Your Data
Securely bridge AI agents, ML platforms, and intelligent services to your production data without writing custom integration code.
The Challenge
Accessing production data safely
AI teams face a fundamental challenge: connecting AI systems to production data without compromising security, compliance, or reliability.
Common Barriers
Writing custom MCP servers for each backend service
Managing protocol translation (DICOM, FHIR, HL7 → AI formats)
Securing connections between on-premise systems and cloud AI
Handling authentication, rate limiting, and audit logs
Transforming legacy data into AI-consumable formats
Maintaining compliance (HIPAA, SOC 2) during data access
The Solution
Universal data gateway for AI
Harmony acts as a secure bridge between your data sources and AI systems, handling protocol translation, security, and compliance automatically.
Protocol Translation
MCPHTTP
Bridge AI agents to standard REST APIs
DICOMJSON
Medical imaging to cloud AI platforms
FHIRML formats
Clinical data for training/inference
LegacyAI-ready
Transform any format declaratively
Security
Zero-trust access with JWT authentication
IP allowlisting and rate limiting
Audit logs for compliance
Data minimization and redaction
Real-time Streaming
HTTP/3 for low-latency connections
Outbound-only connections (no inbound firewall rules)
Optimized for ML inference workloads
Capabilities
Built for AI workloads
Data Transformation
JOLT-based transforms convert any data structure into ML-ready schemas declaratively.
Security & Compliance
Zero-trust access, audit logs, IP allowlisting, and HIPAA-ready architecture out of the box.
Real-time Streaming
HTTP/3 support for low-latency connections optimized for ML inference workloads.
Architecture
Complete AI data gateway
Harmony sits between your data sources and AI services, providing security, transformation, and compliance.
Sources
On-Premise Data
DICOM/FHIR/Legacy
Harmony
Frontend
Security Layer
Auth + Policies
Middleware
Transform
JOLT/Protocol
Audit Log
Compliance
Route
Load Balance
Backend
HTTP/3 Client
Low Latency
Targets
Cloud AI
ML Platforms
Use Cases
What you can build
AI/ML
AI Agent Integration (MCP)
Enable Claude, GPT, and other AI agents to call your internal APIs through Model Context Protocol translation.
View MCP Workload →AI/ML
Medical Imaging AI
Stream DICOM imaging data from PACS systems to cloud AI platforms for diagnostic support and analysis.
View DICOM AI Workload →AI/ML
Federated Learning
Enable privacy-preserving multi-site ML training without centralizing sensitive data across organizations.
Learn About Data Mesh →AI/ML
ML Data Pipelines
Transform and route production data to ML platforms for training and real-time inference at scale.
View Transform Workload →Workload Templates
AI Integration Templates
Ready-to-deploy workloads for AI and ML use cases
DICOM to AI Gateway
Transform DICOM to JSON for cloud AI processing
Medical Image Analysis
AI Pipeline Integration
HealthcareDICOM
Learn more →
MCP to HTTP Bridge
Bridge MCP protocol to standard HTTP APIs
AI Agent Integration
Protocol Translation
HTTPREST
Learn more →
UCP Checkout
Universal Commerce Protocol checkout capability
Agentic Commerce
UCP Gateway
HTTPREST
Learn more →
Learn More
AI integration guides
Connecting AI to Any API
Learn how to bridge AI agents using MCP to your existing HTTP APIs without writing custom integration code.
Read article →Connecting Data Sources to AI in Healthcare
Stream DICOM medical imaging data to cloud AI platforms for diagnostic support and clinical decision making.
Read article →Get Started
Start building AI integrations
Deploy production-ready AI data gateways with built-in security, compliance, and protocol translation.