iFactory integration that reaches the systems other tools can't.
Connect iFactory AI to every MES, ERP, SCADA + AI agent your plant runs on. Turn production analytics, OEE and downtime prediction into real-time, AI-ready production data.
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Live demo · Claude querying iFactory + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
iFactory is brilliant at what it does. Useless at everything else your data + AI needs to touch.
iFactory AI predicts where the line will stop, but the signal stays in the analytics tool - the MES never sees it against the run, ERP costs from estimates, and the prediction rarely reaches the people who could prevent the stop.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for iFactory, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- MES and production systems that need iFactory AI OEE, downtime and prediction against the run
- ERP that reconciles output and utilisation from batch files instead of live analysis
- SCADA, PLCs and sensors whose signals iFactory AI reads but other systems and AI also need
- Data warehouses and AI agents needing live OEE, downtime-risk and utilisation signals per line
MES, ERP, SCADA, machines + 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.
- iFactory + every MES, ERP and SCADA system
- MES, ERP, PLCs, SCADA, IoT sensors + 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
iFactory + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on iFactory + integrated systems. Built in weeks, not months.
Machine data builds OEE and prediction
Signals from SCADA, PLCs and sensors feed iFactory AI, and Rayven keeps them on the active run, so OEE and downtime prediction build from live machine data rather than a periodic pull.
OEE and downtime risk reach planning
OEE, downtime and predicted-stop risk flow into your MES and ERP, so scheduling and costing act on where the line is heading, not just what it already lost.
Predicted stops raise the work order
A predicted downtime event opens a job in your CMMS before the line stops, so maintenance intervenes on the constraint rather than reacting after the loss.
Prediction data, AI-ready
Every OEE reading, downtime reason and prediction streams into Rayven's Industrial AI Data Fabric. AI agents combine iFactory AI's signals with the wider plant data to rank loss drivers across every site.
OEE and risk on one board
Line OEE and predicted-stop risk roll up into cross-line and multi-site dashboards, so operations sees both current loss and where the next one is likely on one definition.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a iFactory connector. It's the operational software platform underneath - so once iFactory is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
iFactory 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 iFactory and every other connected system. Your AI stops guessing - cites real iFactory records + numbers.
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Automation + AI agents
Workflows + AI agents act on iFactory 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 iFactory data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. iFactory stays iFactory. Rayven works on what you've already built. Specifically tuned for iFactory AI prediction-output sync mapped onto the live run and the CMMS work order.
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.
iFactory 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 iFactory AI's analytics-and-prediction model.
Rayven reads iFactory AI's REST API for OEE, downtime and prediction outputs, and joins [SCADA](/solutions/data-integration-platform/scada-integration) and PLC feeds onto the run. Real-time OEE and prediction sync lands the signal in MES, CMMS, ERP and AI, with Rayven reading it and never controlling the line.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your iFactory 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 iFactory data needs to live. Your residency, your rules, your local compliance environment.
The questions iFactory admins, RevOps + IT ask first.
If you're evaluating Rayven for iFactory integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your iFactory + 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 iFactory AI integration?
iFactory AI integration is the practice of connecting iFactory AI production analytics to the rest of your operation - MES, ERP, SCADA and AI - so OEE, downtime and prediction are visible everywhere they matter. Rayven delivers it as part of an Industrial AI Data Fabric, not a single-purpose connector.
How does Rayven connect iFactory AI to other systems?
Rayven reads iFactory AI's REST API and machine connectivity for real-time sync of OEE, downtime and prediction outputs. OEE readings, downtime reasons and predicted-stop signals all flow as first-class integration events. See the Rayven Platform for how the integration and data layers fit together.
How does the OEE angle differ from predictive maintenance?
This page covers iFactory AI's OEE and downtime effectiveness data - availability, performance and loss on the line. The condition and failure-prediction angle is covered under predictive maintenance. Rayven connects both and keeps the OEE effectiveness view distinct from the asset-condition view, cross-linking rather than duplicating.
Does Rayven replace or control our machines?
No. Rayven reads OEE, downtime and prediction data and sits alongside iFactory AI; it never controls, replaces or writes to the machines or the line. iFactory AI keeps doing the analytics, while Rayven lifts the outputs into an Industrial AI Data Fabric and connects them to MES, ERP and AI. Read more in how Rayven works.
How long does iFactory AI integration take with Rayven?
Most iFactory AI integrations go live in 2-12 weeks. A single iFactory AI-to-MES or iFactory AI-to-CMMS flow runs in 2-4 weeks; a full performance fabric with SCADA and AI runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
iFactory AI already predicts downtime. Why does Rayven add value on top?
iFactory AI produces the prediction. Rayven adds value by getting it to the point of action: into the MES run, a CMMS work order and ERP cost, joined with other OEE tools on one definition. Rayven complements iFactory AI. See the Rayven Platform.
What are the technical specifics of iFactory AI integration with Rayven?
Rayven reads iFactory AI's REST API and machine connectivity via API key authentication for real-time sync of OEE, downtime and prediction outputs. Because the model outputs are the integration surface, Rayven contextualises them against the active run so a predicted stop maps to a specific line, order and asset rather than a standalone score. OEE readings, downtime reasons and predicted-stop signals are preserved with field-level mapping into MES, ERP and CMMS targets. Machine signals from SCADA, PLCs and sensors join the run for full context. The OEE effectiveness view is kept distinct from the predictive maintenance condition angle. API rate limits are handled through batching, queuing and back-pressure. Rayven reads and contextualises the data and sits alongside iFactory AI; it never controls or writes to the machines or the line. Validated against iFactory AI with external SCADA and PLC feeds joining the production record.
iFactory + 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.