Factory integration that reaches the systems other tools can't.
Connect Factory AI to every SCADA, historian, EAM + AI agent your plant runs on. Feed the production digital twin live line data, and make its outputs act across your systems.
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Live demo · Claude querying Factory + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
Factory is brilliant at what it does. Useless at everything else your data + AI needs to touch.
The Factory AI twin shows the line but runs on the data already connected to it. Historian and quality data lands late or not at all. Its loss findings stay inside Factory AI. AI yield work stalls because live line data never meets the production twin in one place.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for Factory, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- SCADA, PLC and historian sources that should feed the production twin live, not by shift report
- Quality and MES systems whose data the twin needs to explain loss
- EAM and CMMS that should act on a degrading machine the twin has flagged
- ERP that needs the OEE, throughput and downtime figures the twin computes
- AI models that need live production state for loss and yield scenarios
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.
- Factory + 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
Factory + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on Factory + integrated systems. Built in weeks, not months.
Feed the production twin live
Real-time line, machine and historian data streams into the Factory AI production twin, so it models the plant as it runs this shift. Data is unified first in Rayven's Industrial AI Data Fabric.
Quality context on the twin
Quality results and MES production data map onto the twin, so it explains loss with defect, scrap and genealogy context rather than downtime alone.
Twin-flagged machine becomes a work order
When the twin flags a degrading machine or a recurring loss, Rayven raises a work order in EAM or CMMS with the line, machine and loss context attached.
OEE + throughput to the systems of record
OEE, throughput and downtime figures the twin computes post to ERP continuously, so planning and finance work from the same numbers the production twin shows.
Production state, AI-ready
Live production state and quality context stream into Rayven's fabric, where AI agents run loss and yield scenarios across lines and return recommendations to the twin.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a Factory connector. It's the operational software platform underneath - so once Factory is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
Factory 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 Factory and every other connected system. Your AI stops guessing - cites real Factory records + numbers.
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Automation + AI agents
Workflows + AI agents act on Factory 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 Factory data. No separate BI tool, no separate dev stack.
Learn more →
All on top of your existing stack. No rip + replace. Factory stays Factory. Rayven works on what you've already built. Specifically tuned for live line feeds into the production twin + quality context mapping.
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.
Factory 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 Factory AI's production twin.
Rayven feeds real-time SCADA, PLC and historian data into the Factory AI production twin through its REST APIs, maps quality and MES context onto it, and pushes twin-flagged losses out to [EAM](/solutions/data-integration-platform/eam-integration), ERP and AI in real-time.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your Factory 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 Factory data needs to live. Your residency, your rules, your local compliance environment.
The questions Factory admins, RevOps + IT ask first.
If you're evaluating Rayven for Factory integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your Factory + 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 Factory AI digital twin integration?
It connects the Factory AI production twin to your operational stack - SCADA, MES, EAM and AI - so the twin runs on live line data and its outputs reach the systems that act. Rayven delivers it as part of an Industrial AI Data Fabric.
How is this different from the Factory AI OEE and IIoT pages?
This page covers the production digital-twin angle. The Factory AI OEE and IIoT-platform integration pages cover the metrics and connectivity angles. Rayven handles all of them on one fabric, cross-linked, with distinct copy per angle.
What systems can Rayven connect Factory AI to?
Rayven connects Factory AI to 1,228+ systems including SCADA, historians, MES, EAM and sibling twins like IBM Maximo Monitor and ThingWorx (PTC). Custom integrations are part of done-for-you delivery.
How long does Factory AI integration take with Rayven?
Most Factory AI integrations go live in 2-12 weeks. A single line-to-twin feed runs in 2-4 weeks; a full multi-line production twin with AI yield scenarios runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
Does Rayven replace Factory AI or control the line?
No. Rayven feeds and activates the twin; it does not build the production model, and it never controls the line or any PLC. Rayven keeps the twin fed and pushes its outputs to EAM, ERP and AI. Read how Rayven works.
What are the most common Factory AI integration use cases?
Top use cases are live line data to the twin, quality context on the model, twin-machine-to-work-order, OEE and throughput to ERP, and AI yield scenarios. See the automations above.
What are the technical specifics of Factory AI integration with Rayven?
Rayven integrates Factory AI through its REST APIs and connectors with API-key authentication for real-time bidirectional sync around the production twin. Twin models, line and machine data, quality results and loss findings are preserved through the integration, with field-level mapping into SCADA, MES, EAM, ERP and AI targets. Live SCADA, PLC and historian data is collected over OPC-UA, Modbus and MQTT, unified in Rayven's fabric and mapped to the correct twin machines and lines, so the production twin models the plant as it runs this shift rather than from a late shift report. Quality and MES data adds defect and genealogy context. Rayven reads OT and never writes to PLCs or the control loop. Twin-flagged losses route out to work orders, ERP postings and AI yield scenarios in real-time. This page covers the production digital-twin angle and is distinct from the Factory AI OEE and IIoT pages. Product scope should be confirmed at the gate. Validated against Factory AI deployments carrying live line and quality feeds.
Factory + 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.