Razor integration that reaches the systems other tools can't.
Connect Razor Labs to every CMMS, EAM, SCADA and AI agent your reliability team runs on. Turn DataMind sensor-fusion predictions into an automatic work order, with condition data unified in an Industrial AI Data Fabric.
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Live demo · Claude querying Razor + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
Razor is brilliant at what it does. Useless at everything else your data + AI needs to touch.
DataMind fuses the sensors and predicts the failure, but the diagnosis stays in its console while the CMMS waits. Fused outputs never reach finance, and the wider AI estate never sees the predictions.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for Razor, 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 Razor Labs prediction or diagnosis
- SCADA, vibration and vision feeds that must reach the DataMind models at once
- EAM and ERP needing predicted failures tied to the asset and maintenance cost
- Data warehouses and AI agents needing live prediction, diagnosis and confidence signals
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.
- Razor + 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
Razor + Rayven: AI, automation + tools that reach every system you run.
4 examples of what Rayven customers run on Razor + integrated systems. Built in weeks, not months.
Fusion prediction raises the work order
A DataMind sensor-fusion prediction or diagnosis raises a work order in your CMMS automatically, with the asset, predicted failure and confidence attached. The fused output turns into scheduled maintenance.
Every source feeds the fusion
SCADA tags, vibration signals and vision data stream into DataMind over OPC-UA, MQTT and REST, so its models fuse the full multi-source picture rather than a single feed.
Predicted failure meets the asset record
Prediction scores and diagnoses post to EAM and ERP against the asset and cost centre, so reliability strategy runs on fused prediction.
Fusion outputs, AI-ready
Every prediction, diagnosis and confidence score streams into Rayven's Industrial AI Data Fabric. AI agents query fleet-wide risk and blend DataMind with other models across the estate in real-time.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a Razor connector. It's the operational software platform underneath - so once Razor is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
Razor 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 Razor and every other connected system. Your AI stops guessing - cites real Razor records + numbers.
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Automation + AI agents
Workflows + AI agents act on Razor 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 Razor data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. Razor stays Razor. Rayven works on what you've already built. Specifically tuned for Razor Labs fusion-prediction routing and confidence-weighted work-order prioritisation.
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.
Razor 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 DataMind's multi-source fusion.
Rayven reads DataMind predictions, diagnoses and confidence scores over its REST API with API-key auth, mapping each to the asset natively. Confidence-weighted priority mapping raises a real-time CMMS work order while SCADA, vibration and vision feeds reach DataMind for full-source fusion.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your Razor 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 Razor data needs to live. Your residency, your rules, your local compliance environment.
The questions Razor admins, RevOps + IT ask first.
If you're evaluating Rayven for Razor integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your Razor + 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 Razor Labs integration?
Razor Labs integration is the practice of connecting DataMind AI to the rest of your reliability stack - CMMS, EAM, SCADA and AI - so its predictions 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 Razor Labs to other systems?
Rayven uses Razor Labs' REST API for real-time sync. Sensor-fusion predictions, diagnoses, confidence scores and asset metadata 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 Razor Labs prediction?
Yes. A DataMind sensor-fusion prediction or diagnosis raises a work order in your CMMS automatically, with the asset and predicted failure attached. The fused output becomes scheduled work rather than a console alert.
Does Rayven replace Razor Labs?
No. DataMind stays your sensor-fusion prediction engine. Rayven connects its outputs to the CMMS, EAM and AI, feeds every source in and unifies its predictions with other techniques. Rayven complements Razor Labs by making its diagnoses actionable everywhere.
How long does Razor Labs integration take with Rayven?
Most Razor Labs integrations go live in 2-12 weeks. A single DataMind-to-CMMS flow runs in 3-4 weeks; a full multi-source fusion fabric runs 6-12 weeks. Choose DIY, done-for-you or hybrid delivery.
What are the technical specifics of Razor Labs integration with Rayven?
Rayven integrates Razor Labs DataMind through its REST API, authenticated with API keys. Sensor-fusion prediction scores, diagnoses, confidence levels and asset metadata are read in real-time and mapped against the asset, so a prediction carries failure mode and confidence into the CMMS. Confidence-weighted rules turn fused outputs into correctly ranked work orders. Rate limits are managed through batching and back-pressure so scoring pulls never throttle out. Model thresholds, source identifiers and asset references are preserved with field-level mapping into EAM and ERP targets. Upstream, SCADA tags, vibration signals and computer-vision data reach DataMind via OPC-UA, MQTT and REST for full multi-source fusion. DataMind outputs unify with other condition techniques against one asset model. Validated against the Razor Labs DataMind platform across heavy-industrial and mining asset classes. Rayven reads condition data and triggers work; it never issues control commands to plant.
Razor + 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.