Azure integration that reaches the systems other tools can't.
Connect Azure Digital Twins to every SCADA, IoT, historian, EAM + AI agent your operation runs on. Keep the DTDL graph live with real-time data, and make its outputs actionable across your systems.
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Live demo · Claude querying Azure + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
Azure is brilliant at what it does. Useless at everything else your data + AI needs to touch.
The DTDL graph looks complete, but half its properties update on a nightly file. Operators trust the SCADA screen over the twin. Maintenance never sees the twin's condition flags. AI projects stall because live twin state sits behind rate-limited ADT query calls.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for Azure, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- SCADA, historians and OT tag sources that should update DTDL twin properties in real-time, not on a batch
- EAM and CMMS systems that should turn a twin's condition change into a work order
- ERP that needs the production, downtime and energy figures the twin already holds
- On-premise sensor and PLC data behind the plant firewall that never reaches the cloud graph
- AI agents and models that need live twin state beyond what Data Explorer history exposes
SCADA, IoT, historians, EAM + AI. One platform.
The integration platform built for what other tools can't (or won't) reach - plus an AI data fabric, MCP server + app builder layered on top.
- Azure + every SCADA, IoT and historian system
- SCADA, IoT sensors, historians, BIM/GIS, EAM + custom-built connectors.
- Files, legacy SQL, FTP + custom-built connectors
- Real-time bidirectional sync, tier-aware + rate-limit-safe
- AI Data Fabric, MCP, automation + custom apps included
Azure + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on Azure + integrated systems. Built in weeks, not months.
Keep the DTDL graph live
OT tags, sensor readings and historian values stream into Azure Digital Twins in real-time, updating DTDL properties and relationships continuously. The graph reflects the plant as it is now, unified first in Rayven's Industrial AI Data Fabric.
Twin condition becomes a work order
When a twin property crosses a threshold, Rayven raises a work order in EAM or CMMS with the asset, location and reading attached. The model's insight reaches the crew that fixes it, not just the viewer.
Production + energy figures where finance looks
Throughput, downtime and energy values held in the graph post to ERP and operational dashboards continuously, so reporting matches the live twin rather than yesterday's extract.
Bring the plant floor to the graph
Rayven reads OPC-UA, Modbus and MQTT data at the edge and feeds it up to the DTDL graph, closing the gap between on-premise equipment and the cloud twin without ever opening the control loop.
Twin state, AI-ready
Every twin property, event and relationship streams into Rayven's fabric, where AI agents query live state, run scenarios and return predictions to the graph - beyond what Data Explorer history alone exposes.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a Azure connector. It's the operational software platform underneath - so once Azure is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
Azure data joined with ERP, IoT + legacy - contextualised, unified and structured so AI models, agents and tools can use it without ETL prep work.
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Live AI access (Rayven MCP)
Claude, ChatGPT + Gemini get live, governed access to Azure and every other connected system. Your AI stops guessing - cites real Azure records + numbers.
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Automation + AI agents
Workflows + AI agents act on Azure data without human intervention - escalate at-risk accounts, trigger operational work, auto-update forecasts, draft customer comms.
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Custom apps + portals
Unified customer portals, ops dashboards, mobile field apps, partner portals - built on top of integrated Azure data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. Azure stays Azure. Rayven works on what you've already built. Specifically tuned for DTDL graph updates + IoT Hub telemetry routing at real-time.
Rayven is a five-layer platform ALL your integrations + much more
can run on.
Integration is one layer of Rayven. Data, execution, presentation + governance are the other four - all delivered as one platform on one commercial.
Pick the right tool for your stack.
Azure integration looks different at every scale. Honest comparison of the four common paths - Rayven only wins on some of them.
The integration is the easy bit.
The platform + team behind it is the difference.
Platform + team. One commercial.
Not five vendors stitched together. Rayven is the platform AND the Australia-based expert team that scopes, builds + supports it. One commercial. No licence stacking, no finger-pointing.
Built for Azure Digital Twins' graph model.
Rayven updates DTDL properties and relationships through the ADT REST and query APIs and event routes, feeding real-time SCADA, historian and IoT Hub telemetry into the graph and pushing twin events out to [EAM](/solutions/data-integration-platform/eam-integration), ERP and AI without polling.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your Azure evolves, your stack changes, or you push further. 24/7 support. Same team, same platform, same commercial.
Hosted your way, where you need.
Deploy as cloud, private cloud + on-premise - in Australia, the US, the UK, or anywhere else your Azure data needs to live. Your residency, your rules, your local compliance environment.
The questions Azure admins, RevOps + IT ask first.
If you're evaluating Rayven for Azure integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your Azure + connected stack today
- What's reachable + which systems to bring in first
- Live walkthrough of Rayven against your scenario
- Time, scope + delivery estimate
- Honest read on whether Rayven's the right fit
What is Azure Digital Twins integration?
Azure Digital Twins integration is the practice of connecting the ADT graph to the rest of your operational stack - SCADA, EAM, ERP and AI - so the model stays fed and its outputs reach the systems that act. Rayven delivers it as part of an Industrial AI Data Fabric, not a single-purpose connector.
How does Rayven connect Azure Digital Twins to other systems?
Rayven uses the ADT REST and query APIs, event routes and Azure IoT Hub for real-time bidirectional sync. DTDL twins, properties, relationships and telemetry all flow as first-class integration events. See the Rayven Platform for how the integration and data layers fit together.
What systems can Rayven connect Azure Digital Twins to?
Rayven connects Azure Digital Twins to 1,228+ systems including SCADA, EAM, historians, ERP and sibling twins like NVIDIA Omniverse and Siemens Xcelerator. Custom integrations are part of done-for-you delivery.
How long does Azure Digital Twins integration take with Rayven?
Most Azure Digital Twins integrations go live in 2-12 weeks. A single SCADA-to-twin or twin-to-EAM flow runs in 2-3 weeks; a full estate feeding many twins with AI on top runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
Does Rayven replace Azure Digital Twins or control my equipment?
No. Rayven feeds and activates the twin; it does not build your DTDL model or run it, and it never writes to PLCs or the safety loop. Rayven keeps the graph fed and pushes its outputs to EAM, ERP and AI. Read how Rayven works.
What are the most common Azure Digital Twins integration use cases?
Top use cases are live DTDL updates from SCADA, twin-condition-to-work-order, production and energy to ERP, edge-to-graph feeds and AI scenarios. See the automations above for specifics.
What are the technical specifics of Azure Digital Twins integration with Rayven?
Rayven integrates Azure Digital Twins through the ADT REST and query APIs, event routes and Azure IoT Hub, authenticated with OAuth 2.0 and Microsoft Entra ID, for real-time bidirectional sync. DTDL v2 models, twin properties, relationships and telemetry are preserved through the integration, with field-level mapping into SCADA, EAM, ERP and AI targets. ADT query and throughput limits are managed through batching, eventing and back-pressure so high-frequency telemetry never throttles the graph. On-premise OT data is collected at the edge over OPC-UA, Modbus and MQTT, then fed up to the twin, so plant-floor equipment reaches the model without exposing the control loop. Twin events route out through Event Grid to work orders, ledgers and AI agents in real-time, and Data History is complemented by Rayven's own store for cross-twin queries. Validated against Azure Digital Twins with Azure IoT Hub telemetry and Data Explorer history in production estates.
Azure + AI integration.
In weeks, not months.
Book a 30-minute call. Walk away with a tailored plan - what's reachable, what to bring in first, time + scope.