PTC INTEGRATION · BUILT FOR EVERYTHING ELSE

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.

★★★★★5/5 · 140+ reviews Australian-built 99.9% platform uptime
Rayven + PTC


Live demo · Claude querying PTC + ops via Rayven MCP
RS
What's the status of the PTC ThingWorx → CMMS flow today?
C
All flowing. Anomaly raises the work order is live. No blockers flagged.
PTC ThingWorxCMMS

Trusted by 240+ teams across Australia + globally

  • ABCDust
  • Anglo American
  • AngloGold Ashanti
  • AquaAnalytics
  • Blue Mountains City Council
  • Collective Intelligence
  • CSIRO
  • Ericom
  • EYEMine
  • Fulton Hogan
  • Glencore
  • NSW Government
  • NSW Ports
  • Precision Livestock Farming
  • RamJack
  • Riverina Fresh
  • Telstra
  • Ventia
  • Viva Energy
  • Vodafone
  • Wattwatchers
THE REALITY

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.

What Zapier + iPaaS reach

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
What Rayven reaches

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
WHAT YOU CAN BUILD

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.

PTC ThingWorx → CMMS

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.

U
Anything that needs my attention right now?
AI
3 items. 1 deal stuck, 1 account flagged, 1 task overdue.
PTCCMMS
ThingWorx edge + IIoT → Unified condition model

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.

U
Which devices flagged risk in the last 24 hrs?
AI
11 events. 3 critical - linked to 2 enterprise accounts.
PTCThingWorx edge + IIoTUnified condition mode
PTC ThingWorx → EAM + ERP

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.

U
Reconcile this month's pipeline + finance.
AI
$1.82M aligned, $48k variance flagged. Owners notified.
PTCEAM + ERPSAP
PTC ThingWorx → Data warehouse + AI agents

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.

U
Schedule fulfilment for this week's closed deals.
AI
7 work orders created. 4 picked, 2 awaiting stock, 1 escalated.
PTCData warehouseWMS
PTC ThingWorx → Reliability dashboard

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.

U
Snapshot of activity in the last 24 hrs?
AI
47 events processed. 0 errors, 2 retries, all current.
PTCReliability dashboard
BEYOND INTEGRATION

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.

01
 

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.
Learn more →

02
 

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.
Learn more →

03
 

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.
Learn more →

04
 

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.
Learn more →

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.

The Rayven
AI Data Fabric
MULTIMODAL DATA IN
THE RAYVEN PLATFORM
AI CAPABILITIES OUT
SCADA + OT
Databases
Streaming Feeds
IoT + Sensors
Documents + PDFs
Video + Images
Audio + Voice
Manual + Forms
APIs + Webhooks
AI Agents
AI
Predictive AI + ML
AI
Conversational AI
AI
Real-time Training
AI
AI-led Execution
AI
Multimodal AI
AI
Anomaly Detection
AI
Forecasting
AI
Vision + Edge
AI
Gen AI Summaries
AI
THE PLATFORM BEHIND IT

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.

PTC INTEGRATION · WHICH PATH

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.

Capability
Rayven
Zapier · Workato
MuleSoft · Boomi
Build it yourself
PTC to other SaaS
Yes
Best in class
Yes
DIY effort
PTC to OT / SCADA / IoT
Yes
No
Custom build
Months of work
PTC to legacy DB / files / FTP
Yes
Partial
Yes
DIY effort
Real-time, tier-aware + rate-limit-safe
Yes
Throttled / paid
Yes
Hard to get right
ThingWorx anomaly score to CMMS work order
Built in
No thing-model support
Custom build
Hard to get right
AI-ready data layer + MCP for AI
Built in
No
No
No
Custom apps + portals on connected data
Built in
Not included
Separate product
Build it
Australian-built · sovereign deploy
Available
US-hosted
Configurable
You decide
Cost vs enterprise iPaaS
Significantly lower
Cheap at low volume
Premium pricing
Internal cost
Time to live
2-12 weeks
Days · per Zap
3-9 months
6-18 months
WHY RAYVEN · NOT JUST ANY CONNECTOR

The integration is the easy bit.
The platform + team behind it is the difference.

99.9% platform uptime

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.

THINGWORX ANALYTICS NATIVE

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.

5/5 · 140+ REVIEWS

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.

DEPLOY HOW YOU WANT

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.

FAQS

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.

GET STARTED

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.