C3 integration that reaches the systems other tools can't.
Connect C3 AI Platform to every system and workflow your business runs on. Turn your C3 data into real-time operational intelligence + AI-ready insight.
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Live demo · Claude querying C3 + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
C3 is brilliant at what it does. Useless at everything else your data + AI needs to touch.
C3 AI Platform predicts the failure brilliantly, but the prediction stays inside C3's application layer - ERP still posts from exports, maintenance reads the alert by hand, and other AI models can't reach the sensor data C3 already contextualised.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for C3, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- ERP that needs production, energy and asset runtime posted against the right equipment
- CMMS/EAM that should raise work orders from C3 AI Platform predictions and alerts
- Historian or data lake needing contextualised C3 sensor + model-output data for AI
- MES and OEE systems needing live machine and downtime signals off the line
ERP, MES, historians, 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.
- C3 + every ERP, MES and historian system
- MQTT, OPC-UA, REST, cloud IoT, historians + 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
C3 + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on C3 + integrated systems. Built in weeks, not months.
Runtime + output post to ERP
Live sensor readings, production counts and runtime stream from C3 AI Platform into ERP against the right asset and cost centre. Planning and finance see actual output in real-time, not a morning report.
Predictions raise work orders automatically
A predictive-maintenance or reliability alert from C3 AI Platform raises a work order in CMMS with asset, model and timestamp attached. Predicted failure windows drive preventive schedules, so maintenance is condition-based rather than calendar-based.
Model outputs, AI-ready
Every sensor reading and model prediction streams into Rayven's Industrial AI Data Fabric, contextualised with asset and maintenance data. Other AI agents query live equipment health and downtime across every site.
Every site in one view
Rayven rolls up sensor and prediction data from every C3 AI Platform deployment into cross-site dashboards and field apps. Operations compares plants live, without a separate console per deployment or a manual export.
Governed config writeback
Where you scope it, Rayven writes approved configuration values back to C3 AI Platform under full audit and role-based control. Rayven never issues device commands and leaves the control and safety loop untouched.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a C3 connector. It's the operational software platform underneath - so once C3 is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
C3 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 C3 and every other connected system. Your AI stops guessing - cites real C3 records + numbers.
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Automation + AI agents
Workflows + AI agents act on C3 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 C3 data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. C3 stays C3. Rayven works on what you've already built. Specifically tuned for C3 AI Platform sensor ingestion + predictive-maintenance model-output roll-up.
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.
C3 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 the C3 AI Platform data-integration layer.
Rayven reads sensor + operational data through C3 AI Platform's data-integration layer and REST API, lifting readings, predictions and alerts into ERP, CMMS and AI with no per-application console hopping.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your C3 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 C3 data needs to live. Your residency, your rules, your local compliance environment.
The questions C3 admins, RevOps + IT ask first.
If you're evaluating Rayven for C3 integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your C3 + 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 C3 AI Platform integration?
C3 AI Platform integration is the practice of connecting C3 AI Platform to the rest of your operation - ERP, CMMS, historians and AI - so sensor data and model predictions are usable everywhere they matter. Rayven delivers it as part of an Industrial AI Data Fabric, reading data alongside your platform, never running as your IoT platform.
How is this different from the C3 AI Platform page in AI + ML Platforms?
The AI + ML Platforms C3 AI Platform page covers building and operating C3's AI applications and agents. This page covers the IoT angle - the sensor and operational data C3 AI Platform ingests to power those predictive-maintenance and asset-reliability apps. Rayven connects both sides; see the sibling page for the model/agent angle.
What systems can Rayven connect C3 AI Platform to?
Rayven connects C3 AI Platform to 1,228+ systems including ERP, CMMS, historians, data warehouses and AI, plus sibling IoT platforms like PTC ThingWorx and Siemens Insights Hub. Custom and legacy connections are part of done-for-you delivery.
Does Rayven control or replace C3 AI Platform?
No. Rayven reads and unifies the sensor + operational data feeding C3 AI Platform and sits alongside your deployment; it is not an IoT platform and does not replace C3 AI Platform. Supervised config writeback runs only where you scope it, under audit and role-based control. Rayven never issues device commands and leaves the control and safety loop untouched. See the Rayven Platform.
How long does C3 AI Platform integration take with Rayven?
Most C3 AI Platform integrations go live in 2-12 weeks. A single sensor-to-ERP or prediction-to-CMMS flow runs in 2-3 weeks; a full Industrial AI Data Fabric with predictive maintenance runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
What are the technical specifics of C3 AI Platform integration with Rayven?
Rayven connects to C3 AI Platform through its data-integration layer and REST API, authenticated with tokens or OAuth, reading sensor data, operational records and model predictions from the predictive-maintenance and asset-reliability applications. Sensor data streams in real-time where the deployment supports it; model predictions and historical records are read through the API and batched so large backfills never throttle the platform. Readings, predictions, alerts and metadata are preserved with field-level mapping into ERP, CMMS and AI targets. Per-application scope is rolled up to one cross-site model via Rayven's asset-master layer. Where scoped, supervised configuration writeback runs under role-based control and full audit logging; Rayven never issues device commands and leaves the control and safety loop untouched. Validated against C3 AI Platform predictive-maintenance and asset-reliability deployments.
C3 + 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.