Factory integration that reaches the systems other tools can't.
Unify Factory AI with every system + workflow your operations runs on. Turn predictive signals, work orders + asset state into real-time operational intelligence and AI-ready insight.
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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.
Factory AI auto-generates condition-based work, but the predictive signal stays trapped inside Factory AI. ERP sees parts consumption a week late. Wider AI fabrics + Rayven agents have no live access to the predictive layer. Reliability engineers reconcile Factory AI predictions against the rest of the stack in spreadsheets.
The integration tool you've already tried probably can't fix it.
SaaS-to-SaaS. Useful, until it isn't.
Connectors for Factory, Slack + a thousand other SaaS apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- ERP + procurement that should see work-order cost and parts consumption live
- SCADA, historians + IoT platforms feeding the Factory AI predictive layer
- Wider AI agents + criticality models reading Factory AI's predictive signal
- Contractor + OEM portals reading live work-order and condition state
- Exec asset-performance + prediction-accuracy dashboards across the estate
Work orders, assets, 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.
- Factory + every ERP, SCM and OT system
- SCADA, IoT, ERP, condition monitoring, work-order systems + 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 and tools that reach every system you run.
6 examples of what Rayven customers run on Factory + integrated systems. Built in weeks, not months.
OT signal feeds the predictive layer
Vibration, temperature + flow data from SCADA and IoT stream into Factory AI's predictive layer. Auto-generated condition-based work orders fire with full context - no separate Factory AI ingestion motion.
Predictive work-order cost + parts flow live
Auto-generated work orders, parts consumption + predicted downtime events flow into your ERP and procurement systems. Maintenance cost-per-asset stays current + reorder triggers fire on predicted consumption, not last-week's actuals.
Factory AI signal into the wider fabric
Predictive failure scores, condition trends + auto-generated work-order outcomes stream into Rayven's AI data fabric. Wider AI agents read Factory AI predictions alongside ERP, OT + financial context.
Contractor work-order handoff
Auto-generated work orders, asset access + completion sign-off flow into branded contractor and OEM portals. Factory AI stays the system of record; contractors work on predictive jobs without Factory AI licences.
Technicians see predictive work-order context
Auto-generated work orders, prediction reasoning + asset history surface in custom mobile and plant-floor apps. Technicians see why a job fired - not just what to do.
Prediction accuracy, live
Predictive failure rates, MTBF, MTTR + prediction-accuracy KPIs stream into Rayven exec dashboards. Plant managers + ops directors see whether the AI is right - not just whether the work is done.
Integration is the start. 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.
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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.
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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.
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All on top of your existing stack. No rip + replace. Factory stays Factory. Rayven works on what you've already built. Specifically tuned for Factory AI predictive-signal preservation + condition-based work-order schema reconciliation.
The five-layer operational platform your Factory integration runs 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 predictive layer.
Rayven handles Factory AI's REST API, webhook event stream + predictive-signal endpoints natively. OAuth 2.0 with condition-based work-order schema reconciliation drives real-time sync of predictive failure scores + auto-generated work orders into ERP, OT, wider AI and portal targets - no signal loss, no downstream confusion about dynamic work generation.
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 your 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 integration?
Factory AI integration is the practice of bridging Factory AI's predictive layer to the rest of your operations stack - ERP, SCADA, IoT + wider AI - so predictive failure signal and auto-generated work orders are visible everywhere it matters. Rayven delivers Factory AI integration as part of an AI data fabric, not a single-purpose connector.
How does Rayven connect Factory AI to other systems?
Rayven uses Factory AI's REST API + Webhooks via OAuth 2.0 for real-time bidirectional sync. Predictive failure scores, auto-generated work orders, condition signals + asset state flow as first-class integration events. See the Rayven Platform for how integration + data layers fit together with SCM.
What systems can Rayven connect Factory AI to?
Rayven connects Factory AI to 1,228+ systems including ERP (SAP, NetSuite, Pronto Xi, SYSPRO), SCADA + historians (PI, Ignition, Wonderware), third-party IoT, contractor portals, custom mobile and dashboard apps.
How long does Factory AI integration take with Rayven?
Most Factory AI integrations go live in 2-12 weeks. A single Factory AI-to-ERP or Factory AI-to-OT flow runs in 2-3 weeks; a multi-site predictive AI fabric with auto-generated work-order flow, contractor portals and exec dashboards typically runs 6-10 weeks. Choose DIY, done-for-you or hybrid delivery.
Does Factory AI have a native API? Why does Rayven add value on top?
Yes - Factory AI ships a REST API + Webhooks across its predictive and work-order layer. Rayven adds value because production sync needs more than a connector: predictive-signal preservation, OT-vendor bridging, rate-limit handling + the wider AI fabric and portal layers on top. Read more in how Rayven works.
What are the most common Factory AI integration use cases?
Top use cases are OT signal flow into the predictive layer, auto-generated work-order cost rollup to ERP, predictive signal into wider AI fabrics, contractor portals + prediction-accuracy exec dashboards. See the automations above for specifics.
What are the technical specifics of Factory AI integration with Rayven?
Rayven uses Factory AI's REST API + Webhooks via OAuth 2.0 and scoped API tokens for real-time bidirectional sync. Per-tenant rate limits managed natively via batching, queuing + back-pressure so prediction-event bursts never throttle out. Predictive failure scores, confidence values, prediction reasoning, auto-generated work orders, condition signals + asset state are preserved through the integration with field-level mapping into ERP, SCM, SCADA, IoT and wider AI targets. Predictive-signal lineage (confidence + reasoning) flows through to downstream AI agents so the wider fabric reads Factory AI predictions alongside ERP and OT context. Condition-based work generation is preserved as a dynamic event stream so downstream ERP + procurement systems handle predictive demand correctly. SCADA + historian context integrates as first-class input. Webhook event stream drives sub-minute propagation. Validated against Factory AI Standard + Enterprise tiers. Configurable to your local tax + compliance environment.
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.