M2M integration that reaches the systems other tools can't.
Connect M2M One to every system and workflow your business runs on. Turn your M2M data into real-time operational intelligence + AI-ready insight.
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Live demo · Claude querying M2M + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
M2M is brilliant at what it does. Useless at everything else your data + AI needs to touch.
M2M One keeps devices connected and streaming, but ERP posts from overnight files, maintenance reacts late, and AI models stall because telemetry and SIM usage arrive without asset, location and work-order context.
The integration tool you've already tried probably can't fix it.
App-to-app. Useful, until it isn't.
Connectors for M2M, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- ERP that needs asset runtime, SIM usage and telemetry posted against the right equipment
- CMMS/EAM that should raise work orders from device faults and runtime hours
- Historian or data lake needing contextualised SIM-connected device telemetry for AI
- Field and logistics systems needing live location and condition data off connected assets
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.
- M2M + 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
M2M + Rayven: AI, automation + tools that reach every system you run.
5 examples of what Rayven customers run on M2M + integrated systems. Built in weeks, not months.
Usage + runtime post to ERP
SIM-connected device telemetry, usage and runtime stream from M2M One into ERP against the right asset and cost centre. Planning and finance see actual usage in real-time, not a monthly report.
Faults raise work orders automatically
A device fault or condition threshold raises a work order in CMMS with asset, device and timestamp attached. Runtime hours drive preventive schedules, so maintenance is condition-based rather than calendar-based.
Connected-asset data, AI-ready
Device telemetry, location and session data stream into Rayven's Industrial AI Data Fabric, contextualised with asset and maintenance records. AI agents query live equipment health and location across every connected asset.
Every connected asset in one view
Rayven rolls up telemetry and SIM usage from every M2M One connection into cross-site dashboards and field apps. Operations sees connected assets live, without a separate console or a manual export.
Governed device-config writeback
Where you scope it, Rayven writes approved device or SIM configuration back through the M2M One 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 M2M connector. It's the operational software platform underneath - so once M2M is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
M2M 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 M2M and every other connected system. Your AI stops guessing - cites real M2M records + numbers.
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Automation + AI agents
Workflows + AI agents act on M2M 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 M2M data. No separate BI tool, no separate dev stack.
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All on top of your existing stack. No rip + replace. M2M stays M2M. Rayven works on what you've already built. Specifically tuned for M2M One SIM session data + device-telemetry 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.
M2M 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 SIM-connected device fleets.
Rayven reads M2M One device telemetry and SIM session data over the platform REST APIs, lifting readings, faults and per-SIM usage into ERP, CMMS and AI with the asset and location context a connectivity platform does not carry on its own.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your M2M 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 M2M data needs to live. Your residency, your rules, your local compliance environment.
The questions M2M admins, RevOps + IT ask first.
If you're evaluating Rayven for M2M integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your M2M + 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 M2M One integration?
M2M One integration is the practice of connecting M2M One to the rest of your operation - ERP, CMMS, historians and AI - so SIM-connected device telemetry is usable everywhere it matters. Rayven delivers it as part of an Industrial AI Data Fabric, reading data alongside your platform, never running as your IoT platform.
How does Rayven connect M2M One to other systems?
Rayven reads M2M One device telemetry and SIM usage over the platform REST APIs through the Rayven integration layer. Readings, faults, session data and device state flow as first-class integration events in real-time, bidirectionally where scoped. See the Rayven Platform.
What systems can Rayven connect M2M One to?
Rayven connects M2M One to 1,228+ systems including ERP, CMMS, historians, data warehouses and AI, plus sibling IoT platforms like Telstra IoT and Reekoh. Custom connections are part of done-for-you delivery.
Does Rayven control or replace M2M One?
No. Rayven reads and unifies M2M One telemetry and sits alongside your connectivity platform; it is not an IoT platform and does not replace M2M One. Supervised device-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 M2M One integration take with Rayven?
Most M2M One integrations go live in 2-12 weeks. A single M2M One-to-ERP or fault-to-CMMS flow runs in 2-3 weeks; a full Industrial AI Data Fabric with predictive maintenance runs 6-12 weeks, with Australian-based expert delivery. Choose DIY, done-for-you or hybrid delivery.
What are the technical specifics of M2M One integration with Rayven?
Rayven connects to M2M One through its platform REST APIs, reading device telemetry, SIM session data and usage, authenticated with platform tokens. Device readings stream in real-time; historical telemetry and usage are batched so large backfills never throttle the platform. Readings, faults, location, session data and per-SIM usage are preserved with field-level mapping into ERP, CMMS and AI targets, adding the asset and location context a connectivity platform does not carry on its own. Per-account scope is rolled up to one cross-site model via Rayven's asset-master layer. Devices reachable over other protocols are normalised alongside M2M One data. Where scoped, supervised device and SIM configuration writeback runs under role-based control and full audit logging; Rayven never issues device commands and leaves the control and safety loop untouched. Rayven is not an IoT platform and does not replace M2M One; it reads and unifies the telemetry. Validated against M2M One cellular connectivity deployments, with Australian-based expert delivery.
M2M + 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.