Siemens integration that reaches the systems other tools can't.
Connect Siemens Senseye to every CMMS, EAM, SCADA and AI agent your reliability team runs on. Turn the Attention Index, prognosis and RUL into an automatic work order, with condition data unified in an Industrial AI Data Fabric.
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Live demo · Claude querying Siemens + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
Siemens is brilliant at what it does. Useless at everything else your data + AI needs to touch.
Senseye scores thousands of assets, but its Attention Index and cases never reach the planner's CMMS on their own. RUL stays inside Insights Hub, so scheduling still runs on the calendar and AI models never see the prognosis.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for Siemens, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- CMMS that should open a case or work order the moment Senseye's Attention Index crosses a threshold
- SCADA, historians and IoT feeds that need to reach Senseye and reliability analytics at once
- EAM and ERP needing RUL and prognosis tied to the asset record and maintenance cost
- Data warehouses and AI agents needing live Attention Index, case and RUL signals beyond Insights Hub
SCADA, historians, CMMS, sensors + 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.
- Siemens + every CMMS, EAM and SCADA system
- Sensors, SCADA, historians, CMMS, IoT + 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
Siemens + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on Siemens + integrated systems. Built in weeks, not months.
Attention Index opens the work order
When Senseye's Attention Index or a case crosses a threshold, Rayven raises a work order in your CMMS automatically, carrying the asset, RUL estimate and prognosis evidence. Reliability acts on the signal before the P-F interval closes.
Live signals feed the prognosis
Process tags, historian trends and IoT readings stream into Senseye over OPC-UA and MQTT, so its machine-learning models score on the full live signal set instead of a scheduled export.
RUL meets the asset register
Prognosis and remaining-useful-life post to EAM and ERP against the asset and its cost centre. Planned replacement and capex decisions run on live prognosis, not a quarterly review.
Prognosis data, AI-ready
Every Attention Index, case and RUL estimate streams into Rayven's Industrial AI Data Fabric. AI agents query fleet-wide failure risk and prioritise the reliability backlog across sites in real-time.
One view across the whole fleet
Senseye scores join vibration, oil and thermography from other tools in one asset model, so a single dashboard shows fleet reliability rather than a per-vendor slice.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a Siemens connector. It's the operational software platform underneath - so once Siemens is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
Siemens 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 Siemens and every other connected system. Your AI stops guessing - cites real Siemens records + numbers.
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Automation + AI agents
Workflows + AI agents act on Siemens 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 Siemens data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. Siemens stays Siemens. Rayven works on what you've already built. Specifically tuned for Senseye Attention-Index thresholding and case-to-work-order sequencing across large fleets.
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.
Siemens 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 Senseye's machine-learning model.
Rayven reads Senseye's Attention Index, cases and RUL over its REST API and case webhooks, mapping each to the asset natively. Threshold-driven case sync raises a real-time work order in the CMMS while raw SCADA and IoT feeds reach Senseye via OPC-UA for full-signal scoring.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your Siemens 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 Siemens data needs to live. Your residency, your rules, your local compliance environment.
The questions Siemens admins, RevOps + IT ask first.
If you're evaluating Rayven for Siemens integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your Siemens + 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 Siemens Senseye integration?
Siemens Senseye integration is the practice of connecting Senseye to the rest of your reliability stack - CMMS, EAM, SCADA and AI - so its Attention Index and RUL drive work orders and reach every system. Rayven delivers it as part of an Industrial AI Data Fabric, not a single-purpose connector.
How does Rayven connect Siemens Senseye to other systems?
Rayven uses Senseye's REST API and case webhooks for real-time sync. The Attention Index, automated prognosis, cases and RUL estimates all flow as first-class integration events into your CMMS and analytics. See the Rayven Platform for how integration and data layers fit together.
Can Rayven raise a work order from Senseye's Attention Index?
Yes. A rising Attention Index or a new Senseye case raises a work order in your CMMS automatically, with the asset, RUL and prognosis attached. The reliability engineer no longer copies signals from Insights Hub into the maintenance system by hand.
Does Rayven replace Siemens Senseye?
No. Senseye stays your machine-learning prognosis engine. Rayven connects it to the CMMS, EAM and AI, and unifies its output with other condition techniques. Rayven complements Senseye by making its prognosis actionable across every system a reliability team runs.
How long does Siemens Senseye integration take with Rayven?
Most Senseye integrations go live in 2-12 weeks. A single Senseye-to-CMMS or SCADA-to-Senseye flow runs in 2-3 weeks; a full multi-site prognosis fabric runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
What are the most common Siemens Senseye integration use cases?
Top use cases are Attention-Index-to-work-order, live signals into Senseye, RUL to EAM and prognosis data to AI agents. See the automations above for specifics.
What are the technical specifics of Siemens Senseye integration with Rayven?
Rayven integrates Siemens Senseye through its REST API and case webhooks, authenticated with API tokens. The Attention Index, automated prognosis, case state and remaining-useful-life estimates are read in real-time and mapped against each asset, so a rising index carries context into the CMMS. Large fleets are handled through batched polling and back-pressure so scoring runs never throttle out. Case ordering is enforced so work-order state never posts out of sequence. Asset metadata, thresholds and prognosis attributes are preserved with field-level mapping into EAM and ERP targets. Upstream, SCADA tags, historian trends and IoT readings reach Senseye via OPC-UA and MQTT for full-signal machine-learning scoring rather than a partial export. Validated against Senseye Predictive Maintenance on Siemens Insights Hub across multi-site asset fleets. Rayven reads condition data and triggers work; it never issues control commands to plant or process equipment.
Siemens + 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.