IBM integration that reaches the systems other tools can't.
Connect IBM Maximo Monitor to every SCADA, IoT, historian, EAM + AI agent your operation runs on. Feed the asset health-model twin real-time data, and make its outputs act across your systems.
+
Live demo · Claude querying IBM + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
IBM is brilliant at what it does. Useless at everything else your data + AI needs to touch.
The asset health model only sees what already lands in Maximo. Third-party sensor data never reaches the twin. The condition picture stays inside the MAS console. Finance and operators work from separate numbers, and AI health work stalls behind batch loads.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for IBM, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- SCADA and OT historians that should feed the asset health-model twin in real-time, not on an export
- Non-Maximo sensor and edge data that the health model never sees
- ERP and finance that need the asset-condition and downtime picture the twin holds
- Operator dashboards that should show live twin health outside the Maximo console
- AI models that need live health-model state alongside history for scenario work
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.
- IBM + 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
IBM + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on IBM + integrated systems. Built in weeks, not months.
Feed the asset health-model live
Real-time OT tags, sensor readings and historian values stream into Maximo Monitor's asset twins, so the health model scores current condition. Data is unified first in Rayven's Industrial AI Data Fabric, then fed to the model.
Bring every sensor to the twin
Rayven collects data from sensors and edge devices outside the IBM estate over OPC-UA, Modbus and MQTT and feeds it to the health model, so the twin covers the whole asset, not only Maximo-connected points.
Asset condition where finance + ops look
Health scores, downtime and remaining-life context post to ERP and operational dashboards, so finance and operators see the same asset picture the twin holds, outside the MAS console.
Twin health drives the work
When the health model flags a degrading asset, Rayven turns it into a work order in EAM or CMMS with the twin's context attached, so the model's view reaches the maintenance plan.
Health-model state, AI-ready
Live twin health and history stream into Rayven's fabric, where AI agents run scenarios across the fleet and return predictions - beyond a single MAS instance.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a IBM connector. It's the operational software platform underneath - so once IBM is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
IBM data joined with ERP, IoT + legacy - contextualised, unified and structured so AI models, agents and tools can use it without ETL prep work.
Learn more →
Live AI access (Rayven MCP)
Claude, ChatGPT + Gemini get live, governed access to IBM and every other connected system. Your AI stops guessing - cites real IBM records + numbers.
Learn more →
Automation + AI agents
Workflows + AI agents act on IBM data without human intervention - escalate at-risk accounts, trigger operational work, auto-update forecasts, draft customer comms.
Learn more →
Custom apps + portals
Unified customer portals, ops dashboards, mobile field apps, partner portals - built on top of integrated IBM data. No separate BI tool, no separate dev stack.
Learn more →
All on top of your existing stack. No rip + replace. IBM stays IBM. Rayven works on what you've already built. Specifically tuned for MAS health-model ingest + non-Maximo sensor feeds into the asset twin.
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.
IBM 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 Maximo Monitor's asset twin.
Rayven feeds real-time SCADA, edge and non-Maximo sensor data into Maximo Monitor's asset health model through the MAS REST and IoT ingest APIs, then pushes twin health out to [EAM](/solutions/data-integration-platform/eam-integration), ERP and AI so the condition picture leaves the MAS console.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your IBM 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 IBM data needs to live. Your residency, your rules, your local compliance environment.
The questions IBM admins, RevOps + IT ask first.
If you're evaluating Rayven for IBM integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your IBM + 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 IBM Maximo Monitor digital twin integration?
It connects Maximo Monitor's asset health-model twin to your operational stack - SCADA, EAM, ERP and AI - so the model runs on live data and its health picture reaches the systems that act. Rayven delivers it as part of an Industrial AI Data Fabric.
How is this different from the Maximo Monitor predictive-maintenance page?
This page covers the asset health-model and digital-twin angle - keeping the twin fed and its state visible everywhere. The Maximo Monitor predictive-maintenance integration covers the condition, anomaly and prediction-to-work-order angle. Rayven handles both on one fabric, cross-linked.
What systems can Rayven connect IBM Maximo Monitor to?
Rayven connects Maximo Monitor to 1,228+ systems including SCADA, historians, EAM, ERP and sibling twins like Predix (GE Digital) and ThingWorx (PTC). Custom integrations are part of done-for-you delivery.
How long does IBM Maximo Monitor integration take with Rayven?
Most Maximo Monitor integrations go live in 2-12 weeks. A single SCADA-to-health-model or twin-to-EAM flow runs in 2-3 weeks; a full fleet health twin with AI runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
Does Rayven replace IBM Maximo Monitor or control my assets?
No. Rayven feeds and activates the twin; it does not build the health model or run it, and it never controls the asset or the safety loop. Rayven keeps the model fed and pushes its outputs to EAM, ERP and AI. Read how Rayven works.
What are the most common IBM Maximo Monitor integration use cases?
Top use cases are live SCADA to the health model, non-Maximo sensors into the twin, asset condition to ERP and dashboards, twin-health-to-work-order, and AI fleet scenarios. See the automations above.
What are the technical specifics of IBM Maximo Monitor integration with Rayven?
Rayven integrates IBM Maximo Monitor through the Maximo Application Suite REST APIs and its MQTT and IoT ingest, authenticated with OAuth 2.0 and API keys, for real-time bidirectional sync. Asset digital twins, device data, health scores and anomaly results are preserved through the integration, with field-level mapping into SCADA, EAM, ERP and AI targets. Data from sensors and edge devices outside the IBM estate is collected over OPC-UA, Modbus and MQTT, unified in Rayven's fabric and fed into the health model so the twin covers the whole asset, not only Maximo-connected points. Asynchronous anomaly scoring is handled through eventing and back-pressure so ingest bursts never stall. This page covers the asset health-model and twin angle; the Maximo Monitor predictive-maintenance integration covers the condition-to-work-order angle on the same fabric. Validated against the Maximo Application Suite on Red Hat OpenShift in mixed cloud and on-premise deployments.
IBM + 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.