PTC integration that reaches the systems other tools can't.
Connect PTC ThingWorx to every CMMS, EAM, IIoT platform and AI agent your reliability team runs on. Turn ThingWorx anomaly scores and predictive analytics into an automatic work order, with condition data unified in an Industrial AI Data Fabric.
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Live demo · Claude querying PTC + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
PTC is brilliant at what it does. Useless at everything else your data + AI needs to touch.
ThingWorx Analytics scores the anomaly on edge data, but the result stays inside the ThingWorx mashup while the CMMS waits. Predicted failures never reach finance, and the wider AI estate never sees the scores.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for PTC, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- CMMS that should raise a work order from a ThingWorx anomaly or predictive score
- EAM and ERP needing predicted failures tied to the asset and maintenance cost
- Other condition tools whose verdicts should join ThingWorx analytics per asset
- Data warehouses and AI agents needing live anomaly and predictive-score signals beyond ThingWorx
SCADA, historians, CMMS, 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.
- PTC + every CMMS, EAM and SCADA system
- Sensors, SCADA, historians, CMMS, IoT + 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
PTC + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on PTC + integrated systems. Built in weeks, not months.
Anomaly raises the work order
A ThingWorx anomaly or predictive score raises a work order in your CMMS automatically, with the asset, predicted failure and evidence attached. The edge analytics turn into scheduled maintenance.
Edge data joins the reliability picture
ThingWorx edge and IIoT readings unify with vibration, oil and thermography verdicts against one asset, so machine data and condition techniques read together.
Predicted failure meets the asset record
Predicted failures and anomaly history post to EAM and ERP against the asset and cost centre, so reliability and finance judge the machine on one record.
Analytics outputs, AI-ready
Every anomaly and predictive score streams into Rayven's Industrial AI Data Fabric. AI agents query fleet-wide risk and compare ThingWorx scores with other models across the estate in real-time.
Machine analytics in one view
ThingWorx analytics show on one live dashboard alongside every other monitored asset, so edge-scored machines read from the same reliability view as sensor-based equipment.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a PTC connector. It's the operational software platform underneath - so once PTC is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
PTC 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 PTC and every other connected system. Your AI stops guessing - cites real PTC records + numbers.
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Automation + AI agents
Workflows + AI agents act on PTC 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 PTC data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. PTC stays PTC. Rayven works on what you've already built. Specifically tuned for ThingWorx Analytics score routing and thing-model-to-asset 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.
PTC 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 ThingWorx thing model.
Rayven reads ThingWorx anomaly and predictive scores over its REST APIs and edge microserver via app-key auth, mapping the thing model to the asset natively. Analytics-output routing raises a real-time CMMS work order from an edge-scored anomaly.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your PTC 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 PTC data needs to live. Your residency, your rules, your local compliance environment.
The questions PTC admins, RevOps + IT ask first.
If you're evaluating Rayven for PTC integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your PTC + 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 PTC ThingWorx integration?
PTC ThingWorx integration is the practice of connecting ThingWorx to the rest of your reliability stack - CMMS, EAM, IIoT and AI - so its anomaly scores drive work and reach every system. Rayven delivers it as part of an Industrial AI Data Fabric, not a single-purpose connector.
How does Rayven connect PTC ThingWorx to other systems?
Rayven uses ThingWorx REST APIs and the edge microserver for real-time sync. Anomaly scores, predictive-analytics outputs, thing properties and events flow as first-class integration events into your CMMS. See the Rayven Platform for how integration and data layers fit together.
Can Rayven raise a work order from a ThingWorx anomaly?
Yes. A ThingWorx anomaly or predictive score raises a work order in your CMMS automatically, with the asset and predicted failure attached. The edge analytics become scheduled maintenance rather than a mashup notification.
Does Rayven replace PTC ThingWorx?
No. ThingWorx stays your industrial IoT and analytics platform, whether you run it as an IIoT platform or for predictive scoring. Rayven connects its outputs to the CMMS, EAM and AI, and unifies them with other techniques. Rayven complements ThingWorx.
How long does PTC integration take with Rayven?
Most PTC ThingWorx integrations go live in 2-12 weeks. A single ThingWorx-to-CMMS flow runs in 3-4 weeks; a full condition fabric spanning edge and sensor data runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
What are the most common PTC integration use cases?
Top use cases are anomaly-to-work-order, joining edge data with condition techniques, predicted failure to EAM, and analytics to AI agents. See the automations above for specifics.
What are the technical specifics of PTC integration with Rayven?
Rayven integrates PTC ThingWorx through its REST APIs and edge microserver, authenticated with scoped app keys. ThingWorx Analytics anomaly scores, predictive scores, thing properties and events are read in real-time and mapped from the thing model to the asset, so a score carries predicted failure context into the CMMS. Edge-buffered data is reconciled so intermittent connectivity never loses events. Rate limits are managed through batching and back-pressure so property polls never throttle the platform. Thing definitions, property names and analytics thresholds are preserved with field-level mapping into EAM and ERP targets. ThingWorx edge and IIoT data unify with vibration, oil and thermography verdicts against one asset model. Validated against ThingWorx with ThingWorx Analytics in cloud, on-prem and edge deployments. Rayven reads condition data and triggers work; it never issues control commands to plant.
PTC + 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.