PREDICTIVE MAINTENANCE INTEGRATION · AI-READY

Predictive Maintenance integration that connects every system + makes all your data AI-ready.

Condition data from every sensor, SCADA + monitoring system, unified in real-time - joined to your CMMS, EAM + AI in an Industrial AI Data Fabric, so a prediction becomes a work order automatically.

Get my predictive-maintenance plan → Talk to us

★★★★★5/5 · 140+ reviews Australian-built 99.9% platform uptime

YOUR PDM SYSTEM

+ 13 more predictive-maintenance systems · scroll down to find yours ↓

AI-READY

Live demo · Claude querying condition data via Rayven MCP

Which assets are trending toward failure this week? Any open work orders?

4 assets breaching RUL threshold across 2 sites. Pump P-204 vibration anomaly (Augury) and a bearing wear alert (Senseye Attention Index) - work orders raised for both. 1 SCADA tag offline on the compressor train.

PdM SCADA CMMS

Trusted by 240+ teams across Australia + globally

PICK YOUR PDM SYSTEM

Pick your predictive-maintenance system. See exactly how Rayven wires it to your CMMS, assets + AI.

Whatever predictive-maintenance or condition-monitoring platform your reliability team runs, Rayven connects it - over OPC-UA, MQTT, REST and file - then makes the data inside AI-ready, live-queryable via MCP, + actionable through CMMS work orders and agents on top. Click yours below.

THE REALITY

Your monitoring tools spot the failure coming - then the prediction dies in a dashboard instead of becoming a work order.

Predictive-maintenance and condition-monitoring tools were built to detect the failure - not to feed AI agents, raise a work order automatically, or expose live asset health to CMMS, EAM and SCADA. The gap widens every time a new sensor, monitoring platform or site joins the reliability programme.

The prediction dies in a dashboard.

Your monitoring tools see the failure coming, but the alert never leaves the vendor portal. Nobody raises the work order until the asset trips - the P-F interval you paid to detect gets wasted, and the breakdown lands anyway.

Condition data sits in silos.

Vibration lives in one tool, oil analysis in another, thermography in a third, and SCADA tags separately again. No single asset view exists, so failure-prediction models and AI can’t run across the full picture of the machine.

Point-to-point sensor links break and don’t scale.

Every sensor, historian, monitoring platform and CMMS ships its own connector. Built one-by-one, these links break at the next firmware update and can’t scale across sites, OEM feeds or asset classes.

Rayven is operational software

for an AI-powered world

YOUR WORLD

THE RAYVEN PLATFORM

YOUR OUTCOMES

SCADA + OT

Databases (SQL, NoSQL)

Streaming Feeds

IoT + Edge Devices

Real-time Telemetry

Files + Documents

ERP + CRM Systems

APIs + Webhooks

SECURED PERIMETER

01INTEGRATIONAI

Connect anything, in + out

02DATAAI

Store, structure + serve

03EXECUTIONAI

Decide, automate + act

04PRESENTATIONAI

Show, ask + interact

05SECURITYAI

Protected, governed, hosted

Real-Time Dashboards

Conversational AI

Mobile + Web Apps

People + Approvals

AI Agents

Predictive AI + ML

Machine Control

Alerts + Notifications

Reports + Data Exports

API + Webhook

BEYOND INTEGRATION

Integration is just the start with Rayven, here’s what comes with it.

Rayven isn’t just a predictive-maintenance connector. It’s the operational software platform underneath - so once your condition-monitoring system is connected, four capabilities come online by default.

AI-ready condition data (AI Data Fabric)

Every condition-monitoring system, sensor, SCADA feed and CMMS unified into a real-time Industrial AI Data Fabric. Live vibration, thermography, oil analysis and remaining-useful-life data without batch delays. See the AI Data Fabric →

Live AI access (Rayven MCP)

Claude, ChatGPT and Gemini get live, governed access to your condition data. Query asset health, RUL and open alarms against real-time reliability data - not a stale export. See Rayven MCP →

Automation + AI agents

Failure prediction, anomaly detection and automatic work-order creation all run on live condition data. A rising anomaly score or RUL threshold raises the work order in the CMMS - Rayven reads condition data and triggers the work; it never issues control commands to plant. See Automation + AI agents →

Custom apps + portals

Reliability dashboards, fleet health views, planner backlogs and site-level asset apps - built on your unified condition data. Every Rayven customer who runs predictive-maintenance integrations ends up here. See custom apps + portals →

All on top of your existing stack. No rip and replace. Your CMMS and EAM stay the system of record - Rayven reads the condition data and triggers the work.

NOT READY FOR A CALL YET?

Get a free predictive-maintenance integration plan in 30 minutes.

A focused session with Rayven’s Australian team. Bring your condition-monitoring systems and the CMMS, EAM or SCADA you want them connected to. Walk away with a tailored plan - what’s reachable, what to bring in first, time and scope.

Honest read on whether Rayven’s the right fit
Live walkthrough against your reliability stack and condition-monitoring systems
Tailored predictive-maintenance and AI plan, emailed after
No-obligation - we’ll tell you if it’s not for you

Get my free plan → Avg call: 23 mins

What you walk away with

✓

Connected-system inventory

Every sensor, SCADA feed and monitoring platform in your reliability stack mapped to the right Rayven integration layer.

✓

Use-case shortlist

3-5 highest-leverage automation + AI use cases for your reliability and maintenance ops.

✓

Time + scope estimate

Honest 2-12 week range, with what fits inside each phase.

✓

Delivery pathway recommendation

DIY, done-for-you or hybrid - based on your team and timeline.

Why Rayven costs less than enterprise solutions.

Businesses of all shapes and sizes need powerful systems, but not the cost and chaos that come with traditional enterprise software.

Rayven delivers the same outcomes as multiple, expensive enterprise technologies, but with a radically lighter footprint + much, much faster.

Speak to us today to find out more.

Everything you need in one platform.

Integration, storage, data processing, automation, AI + apps: one platform.

We own, build + run our own technology.

No resellers or third-party mark-ups; new capabilities are aligned to you.

Delivered for you by our specialists.

We design, build, deploy + support - no need for developers or consultants.

Start small then scale, infinitely.

Start small, expand across sites + teams without engineering or lock-in.

FAQS

Frequently asked questions about predictive-maintenance integration.

What predictive-maintenance systems does Rayven integrate?

Rayven integrates every major predictive-maintenance and condition-monitoring platform including IBM Maximo Monitor, Siemens Senseye, Augury, SAP Predictive Asset Insights, GE Digital, Fluke Reliability and 13 more. Rayven also bridges OEM monitoring, legacy sensors and custom systems via REST, OPC-UA, MQTT, ODBC, file and database integration.

How long does predictive-maintenance integration take with Rayven?

Most predictive-maintenance integrations go live in 2-12 weeks. A single monitoring-to-CMMS or sensor-to-historian flow runs in 2-3 weeks; a multi-site condition-data fabric with failure prediction and automatic work orders on top typically takes 6-12 weeks. Choose DIY, done-for-you or hybrid delivery - all three come with Australian-based expert delivery. PdM integration pairs naturally with CMMS integration for closed-loop work.

Does Rayven replace my CMMS or EAM?

No. Predictive maintenance is the condition and prediction layer; it feeds the systems that execute work. Rayven lifts anomaly scores, RUL and alarms into an Industrial AI Data Fabric and raises the work order in your CMMS or updates your EAM automatically. Rayven does not stand in for those systems - it makes the prediction actionable inside them, and keeps your asset register and work management as the system of record.

Is Rayven a connector platform or something more?

The Rayven Platform delivers an AI data fabric - much more than a connector platform. While Rayven includes 1,228+ fast-track connectors for predictive-maintenance systems, CMMS and SCADA, the platform also delivers real-time data processing, machine-learning failure prediction and the ability to build custom reliability apps, agents and portals on your unified condition data. See the Rayven Platform for the full picture.

Does Rayven control my equipment or PLCs?

No. Rayven reads condition data and triggers work; it never issues control commands to your equipment, PLCs or actuators. It ingests sensor, SCADA and IIoT data one way, runs failure prediction on it, and writes the outcome to your CMMS as a work order. Your control system stays untouched and remains the sole authority over plant operation.

How does Rayven handle security + data residency for condition and asset data?

Rayven runs encryption at rest and in transit, granular access control, full audit logging and supports Australian sovereign, edge and on-prem hosting. Sensor, condition and asset data stays within your chosen data residency boundary. Role-based controls extend to field level. See security, governance + hosting for the full set of controls, applied across every OT system inside the fabric.

Rayven is loved by IT, Digital, Ops... everyone.

Rated 5/5 based on over 140 reviews across SourceForge, Capterra, GetApp, Software World, DEVPOST, and G2.

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James, Mechanist
‘We see Rayven as
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Rob, CEO
‘Incredible for
monitoring our critical
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Frank, Risk Manager, Insurance
‘A powerful all-in-one
platform for building apps
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Predictive Maintenance integration that connects every system + makes all your data AI-ready.

Pick your predictive-maintenance system. See exactly how Rayven wires it to your CMMS, assets + AI.