VROC INTEGRATION · BUILT FOR EVERYTHING ELSE

VROC integration that reaches the systems other tools can't.


Connect VROC to every CMMS, EAM, SCADA and AI agent your reliability team runs on. Turn time-series anomaly scores and failure predictions 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 + VROC


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

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

VROC is brilliant at what it does. Useless at everything else your data + AI needs to touch.


VROC models catch the drift early, but the anomaly stays in its dashboard until an analyst acts. Historian context never reaches finance, and the prediction never becomes a scheduled job on its own.

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 VROC, 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 VROC anomaly or failure prediction
  • SCADA, historians and sensor feeds that must reach VROC's models at once
  • EAM and ERP needing predicted failures tied to the asset and maintenance cost
  • Data warehouses and AI agents needing live anomaly and prediction signals across the estate
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.

  • VROC + 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

VROC + Rayven: AI, automation + tools that reach every system you run.


4 examples of what Rayven customers run on VROC + integrated systems. Built in weeks, not months.

VROC → CMMS

Anomaly raises the work order

A VROC time-series anomaly or failure prediction raises a work order in your CMMS automatically, with the asset, predicted failure and evidence attached. The model output turns into scheduled maintenance.

U
Anything that needs my attention right now?
AI
3 items. 1 deal stuck, 1 account flagged, 1 task overdue.
VROCCMMS
SCADA + historian → VROC

Live signals feed the models

SCADA tags and historian trends stream into VROC over OPC-UA and REST, so its time-series models score on the full live signal set rather than a manual export.

U
Which devices flagged risk in the last 24 hrs?
AI
11 events. 3 critical - linked to 2 enterprise accounts.
VROCSCADA + historianIoT
VROC → EAM + ERP

Predicted failure meets the asset record

Anomaly scores and predicted failures post to EAM and ERP against the asset and cost centre, so reliability strategy runs on live prediction.

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

Prediction outputs, AI-ready

Every anomaly score and prediction streams into Rayven's Industrial AI Data Fabric. AI agents query fleet-wide risk and blend VROC's outputs with other condition techniques in real-time.

U
Schedule fulfilment for this week's closed deals.
AI
7 work orders created. 4 picked, 2 awaiting stock, 1 escalated.
VROCData warehouseWMS
BEYOND INTEGRATION

Integration is the start with Rayven.
Here's what comes with it.


Rayven isn't just a VROC connector. It's the operational software platform underneath - so once VROC is connected, four more capabilities come online by default.

01
 

AI-ready data layer (AI Data Fabric)

VROC 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 VROC and every other connected system. Your AI stops guessing - cites real VROC records + numbers.
Learn more →

03
 

Automation + AI agents

Workflows + AI agents act on VROC 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 VROC data. No separate BI tool, no separate dev stack.
Learn more →

All on top of your existing stack. No rip + replace. VROC stays VROC. Rayven works on what you've already built. Specifically tuned for VROC time-series anomaly routing and historian-feed model training.

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.

VROC INTEGRATION · WHICH PATH

Pick the right tool for your stack.


VROC 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
VROC to other SaaS
Yes
Best in class
Yes
DIY effort
VROC to OT / SCADA / IoT
Yes
No
Custom build
Months of work
VROC 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
VROC time-series anomaly to CMMS work order
Built in
No time-series feed
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.

TIME-SERIES AI NATIVE

Built for VROC's time-series models.

Rayven reads VROC anomaly scores and failure predictions over its REST API with API-key auth, mapping each to the asset natively. Score-to-priority mapping raises a real-time CMMS work order while live SCADA and historian feeds reach VROC via OPC-UA for full-signal scoring.

5/5 · 140+ REVIEWS

We stay after go-live.

No handoff. No disappearing. Rayven is a long-term partner when your VROC 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 VROC data needs to live. Your residency, your rules, your local compliance environment.

FAQS

The questions VROC admins, RevOps + IT ask first.


If you're evaluating Rayven for VROC integration, these are the things worth knowing before booking a call.

The 30-minute call covers
  • Your VROC + 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 VROC integration?

VROC integration is the practice of connecting VROC to the rest of your reliability stack - CMMS, EAM, SCADA and AI - so its anomalies 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 VROC to other systems?

Rayven uses VROC's REST API for real-time sync. Time-series anomaly scores, failure predictions and asset metadata flow as first-class integration events into your CMMS and analytics. See the Rayven Platform for how integration and data layers fit together.

Can Rayven raise a work order from a VROC anomaly?

Yes. A VROC anomaly or failure prediction raises a work order in your CMMS automatically, with the asset and predicted failure attached. The model output becomes scheduled work rather than a dashboard alert.

Does Rayven replace VROC?

No. VROC stays your time-series prediction engine. Rayven connects its outputs to the CMMS, EAM and AI, feeds live signals in and unifies its scores with other techniques. Rayven complements VROC by making its predictions actionable everywhere.

How long does VROC integration take with Rayven?

Most VROC integrations go live in 2-12 weeks. A single VROC-to-CMMS or SCADA-to-VROC flow runs in 2-3 weeks; a full multi-site prediction fabric runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery. Australian-built, with Australian-based expert delivery.

What are the technical specifics of VROC integration with Rayven?

Rayven integrates VROC through its REST API, authenticated with API keys. Time-series anomaly scores, failure predictions and asset metadata are read in real-time and mapped against the asset, so a prediction carries failure mode and priority into the CMMS. Score-to-priority rules turn model outputs into correctly ranked work orders. Rate limits are managed through batching and back-pressure so scoring pulls never throttle out. Model thresholds, asset identifiers and prediction attributes are preserved with field-level mapping into EAM and ERP targets. Upstream, SCADA tags and historian trends reach VROC's time-series models via OPC-UA and REST for full-signal scoring rather than a manual export. VROC outputs unify with vibration, oil and thermography verdicts against one asset model. Validated against the VROC predictive-analytics platform on Australian-hosted and sovereign deployments. Rayven reads condition data and triggers work; it never issues control commands to plant.

GET STARTED

VROC + 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.