Runbeam is a cloud-managed interoperability gateway that bridges on-premise systems, cloud services, and partner networks. Deploy containerised gateways behind your firewall. Transform protocols, enforce policies, and maintain full audit trails—without vendor lock-in or exposing internal networks.
Deploy the lightweight Harmony gateway to connect APIs. Enable secure data exchange between organisations without vendor lock-in.
Runbeam exposes a native Model Context Protocol (MCP) server with 52 tools across 11 resource categories, enabling AI coding agents like Claude Code, Cursor, and OpenAI Codex to manage Harmony gateway configurations programmatically.
Discover how HTTP/3 (QUIC) enables secure, performant connections from hospital networks to cloud AI platforms without VPNs or inbound firewall rules—while maintaining HIPAA compliance and audit-ready governance.
Learn how to bridge AI agents using MCP (Model Context Protocol) to your existing HTTP APIs without writing custom integration code—enabling Claude, GPT, and other AI systems to call any backend service.
Runbeam eliminates integration complexity with intelligent data orchestration that connects any system, anywhere. Built on the open-source Harmony proxy, Runbeam is now available in beta, delivering enterprise-grade reliability with developer-friendly simplicity.
Manage all your data connections from a single dashboard. Monitor performance, track data flows, and configure integrations without complexity.
Built-in encryption, authentication, and audit trails ensure your data stays secure. Meet compliance requirements with comprehensive logging and access controls.
Start small and grow big. Runbeam scales from simple point-to-point connections to complex multi-cloud, multi-organisation data meshes effortlessly.
Get access to the Runbeam beta program and stay updated with the latest features, integration guides, and product updates.
Harmony sits between your systems as a secure gateway, handling ingestion, transformation, and routing of data across any protocol or network boundary, while Runbeam handles configuration and distributed access.
Install Harmony gateway nodes in your network. They stay completely behind your firewall—no direct external access required.
Use the Runbeam control plane to centrally manage configuration, policies, and authentication across all your gateways.
Route data to AI services, analytics platforms, or partner APIs. Transform, validate, and connect across any protocol with full audit trails.
Runbeam connects legacy systems with modern APIs through the Harmony proxy. Lightweight, secure, and simple to deploy in any environment.
Supports translation between legacy protocols and modern APIs, making old and new systems work together seamlessly.
Convert data flows into REST, GraphQL, or streaming APIs to enable integration with modern applications and services.
Expose queries, events, and metadata through simple HTTP APIs, enabling integration with virtually any system.
Ship as a container for fast setup in on-prem or cloud environments. Runs anywhere Docker does.
Route requests between internal and external endpoints, with flexible configuration for complex topologies.
Extend Runbeam with pluggable transformations to bridge different standards, formats, and data models.
Modern protocol support with multiplexed streams, faster connection setup, and superior performance on unreliable networks.
Connect distributed proxies with JWT-based authentication for secure cross-organisation connectivity without VPN complexity.
Transform legacy data formats into AI-ready JSON schemas. Bridge MCP protocol to standard APIs, enabling AI agents to access your services securely.
Runbeam makes it simple to feed structured and unstructured data into AI pipelines. From research to production, it ensures secure, standards-based integration between your existing systems and modern machine learning workflows. Connect AI agents to your APIs, stream medical imaging to cloud AI platforms, or build federated learning pipelines across organizations.
Explore AI IntegrationBridge MCP (Model Context Protocol) to standard HTTP APIs, enabling Claude, GPT, and other AI agents to call your services without custom integration code.
Route DICOM images from PACS to cloud AI platforms for diagnostic support. Transform medical data into AI-ready formats with built-in compliance.
Stream production data to ML models for real-time predictions. HTTP/3 support ensures low-latency connections between data sources and AI services.
Securely share training data across organizations using Data Mesh. Enable collaborative ML while maintaining data sovereignty and privacy.
From healthcare to finance, Runbeam bridges protocols, APIs, and data silos with secure and flexible transformations.
Stream production data to ML models for real-time predictions and training.
Route DICOM studies from PACS to cloud AI for diagnostic support.
Enable AI agents to call your APIs via MCP without custom integration.
Bridge your infrastructure across any environment.
Secure data exchange with external organisations.
Feed real-time data to business intelligence tools.
Stream operational data for insights and reporting.
Trigger automated processes from business events.
Keep customer information synchronised across systems.
Real-time financial data for accurate reporting.
Connect device data to operational systems.
Secure cross-organisation connectivity via authenticated mesh.
Discover engineering insights, integration patterns, and the latest updates from the Harmony team.
Runbeam exposes a native Model Context Protocol (MCP) server with 52 tools across 11 resource categories, enabling AI coding agents like Claude Code, Cursor, and OpenAI Codex to manage Harmony gateway configurations programmatically.
Discover how HTTP/3 (QUIC) enables secure, performant connections from hospital networks to cloud AI platforms without VPNs or inbound firewall rules—while maintaining HIPAA compliance and audit-ready governance.
Learn how to bridge AI agents using MCP (Model Context Protocol) to your existing HTTP APIs without writing custom integration code—enabling Claude, GPT, and other AI systems to call any backend service.
IHE's new MADO supplement claims to fill a gap in imaging interoperability with manifest-based access. But DICOMweb already retrieves images. What problem is MADO really solving, and does the industry need it?
Get access to the Runbeam beta program and stay updated with the latest features, integration guides, and product updates.
