AI + ML PLATFORM INTEGRATION · AI-READY

AI + ML integration that feeds models real-time data + operationalises its output.

Real-time OT, IoT, app and operational data grounding every model + agent - and predictions pushed back into the systems that act, in an AI Data Fabric.

Get my AI + ML integration plan → Talk to us

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

YOUR AI + ML PLATFORM

+ 22 more AI + ML platforms · scroll down to find yours ↓

AI-READY

Live demo · Claude querying operational data via Rayven MCP

Which production models are showing drift right now? Any blocked on live OT data?

14 models in production - 9 stable, 3 drifting, 2 blocked on a live feed. Drift traces to a sensor recalibration event; blocked models are waiting on historian backfill. 6 predictions are ready to push to work orders once features refresh.

AI Platform SCADA ERP

Trusted by 240+ teams across Australia + globally

THE REALITY

Every AI + ML platform hits the same wall: the real-time operational data is the hardest to reach, and predictions die in a notebook.

AI and ML platforms were built to train, tune and serve models - not to reach OT, IoT and SCADA data on the plant floor, or to push predictions back into the systems that act. The gap widens with every new model, source and target.

The real-time operational data your models need is the hardest to reach.

Models train and infer on whatever data reaches them. The richest signal - live OT, IoT, SCADA and historian data, machine and line telemetry, live app events - sits behind protocols and systems your AI platform was never built to read. Machine learning models learn from stale extracts, not live operations.

Predictions and agents die in a notebook.

A model scores well and an agent reasons well, then the output goes nowhere. Getting a prediction or a decision back into ERP, work orders, control-adjacent apps and operational dashboards - where it drives an action - is a separate integration project that rarely ships.

Every source and target is another point-to-point build.

Feature pipelines, streaming feeds, RAG grounding and output writeback each get built one connector at a time. Built that way, the pipeline breaks at the next schema change and cannot scale across new sources, models or systems.

Rayven is operational software

for an AI-powered world

YOUR WORLD

THE RAYVEN PLATFORM

YOUR OUTCOMES

SCADA + OT

Databases (SQL, NoSQL)

Streaming Feeds

IoT + Edge Devices

Real-time Telemetry

Files + Documents

ERP + CRM Systems

APIs + Webhooks

SECURED PERIMETER

01INTEGRATIONAI

Connect anything, in + out

02DATAAI

Store, structure + serve

03EXECUTIONAI

Decide, automate + act

04PRESENTATIONAI

Show, ask + interact

05SECURITYAI

Protected, governed, hosted

Real-Time Dashboards

Conversational AI

Mobile + Web Apps

People + Approvals

AI Agents

Predictive AI + ML

Machine Control

Alerts + Notifications

Reports + Data Exports

API + Webhook

BEYOND INTEGRATION

Integration is just the start with Rayven, here’s what comes with it.

Rayven isn’t an AI or ML platform. It’s the operational software platform underneath - so once your model platform is connected, four capabilities come online by default.

AI-ready operational data (AI Data Fabric)

Every OT, IoT, SCADA, ERP and app source unified into a real-time AI data fabric. Live features, RAG context and grounding data reach your model - without a nightly export. See the AI Data Fabric →

Live AI access (Rayven MCP)

Claude, ChatGPT and Gemini get live, governed access to your operational data through Rayven MCP. Answers and agent tool calls ground on what is happening now - not a stale export. See Rayven MCP →

Automation + AI agents

Model scores and agent decisions trigger workflows automatically - a prediction posts to a work order, a drift alert fires a retraining job, an agent action updates ERP. Predictions become actions, not a chart in a notebook. See Automation + AI agents →

Custom apps + portals

Model-performance dashboards, drift-monitoring consoles and portals that show predictions alongside the operational data behind them - built on your unified data. Every Rayven customer who runs AI or ML platform integrations ends up here. See custom apps + portals →

All on top of your existing stack. No rip + replace. Your AI or ML platform stays your AI or ML platform. Rayven works on what you’ve already built.

NOT READY FOR A CALL YET?

Get a free AI + ML platform integration plan in 30 minutes.

A focused session with Rayven’s Australian team. Bring your AI or ML platform and the operational systems you want feeding it. Walk away with a tailored plan - what’s reachable, what to bring in first, time and scope.

Honest read on whether Rayven’s the right fit
Live walkthrough against your stack and use case
Tailored AI + ML integration plan, emailed after
No-obligation - we’ll tell you if it’s not for you

Get my free plan → Avg call: 23 mins

What you walk away with

✓

Connected-system inventory

Every source and target in your AI or ML stack mapped to the right Rayven integration layer.

✓

Use-case shortlist

3-5 highest-leverage grounding and operationalisation use cases for your models and agents.

✓

Time + scope estimate

Honest 2-12 week range, with what fits inside each phase.

✓

Delivery pathway recommendation

DIY, Done-for-you or Hybrid - based on your team and timeline.

Why Rayven costs less than enterprise solutions.

Businesses of all shapes and sizes need powerful systems, but not the cost and chaos that come with traditional enterprise software.

Rayven delivers the same outcomes as multiple, expensive enterprise technologies, but with a radically lighter footprint + much, much faster.

Speak to us today to find out more.

Everything you need in one platform.

Integration, storage, data processing, automation, AI + apps: one platform.

We own, build + run our own technology.

No resellers or third-party mark-ups; new capabilities are aligned to you.

Delivered for you by our specialists.

We design, build, deploy + support - no need for developers or consultants.

Start small then scale, infinitely.

Start small, expand across sites + teams without engineering or lock-in.

FAQS

Frequently asked questions about AI + ML platform integration.

What AI and ML platforms does Rayven integrate?

Rayven integrates every major AI and ML platform including OpenAI, Microsoft Azure AI Foundry, Google Vertex AI, Amazon Bedrock, Amazon SageMaker, Databricks Mosaic AI and 20 more. Rayven also connects self-hosted and custom models via REST, gRPC, webhooks and API.

Does Rayven replace our AI or ML platform?

No. Rayven is not an AI or ML platform and does not replace yours - it is the real-time AI data fabric that grounds your models and agents in live operational data and operationalises their outputs. Your models, training and serving stay on your chosen platform; Rayven feeds them and acts on what they return. See the Rayven Platform for how the layers fit.

How does Rayven get real-time operational data to an AI platform?

Rayven’s integration layer reaches OT, IoT and operational systems that AI platforms cannot - via 1,228+ connectors, OPC-UA, MQTT, CDC, file and API. SCADA, historian, machine telemetry, ERP and app events stream in as live features and RAG context, alongside data warehouse and lake history.

How does Rayven operationalise model and agent outputs?

Predictions, scores and agent decisions write straight back into the systems that act - ERP, work orders, apps, dashboards and conversational AI - with field-level mapping and real-time delivery. An AI output stops being a chart and becomes an action. See how Rayven works for the execution and presentation layers.

How long does AI or ML platform integration take with Rayven?

Most integrations go live in 2-12 weeks. A single grounding or output-writeback flow runs in 2-3 weeks; a full real-time feature and operationalisation fabric across several models typically takes 6-12 weeks. Choose DIY, done-for-you or hybrid delivery - all three come with Australian-based expert delivery.

How does Rayven handle security + data residency for AI data?

Rayven runs encryption at rest and in transit, granular role-based access to field level, full audit logging and Australian sovereign, edge and on-prem hosting. The operational data grounding your models stays inside your chosen residency boundary. See security, governance + hosting for the full set of controls.

Rayven is loved by IT, Digital, Ops... everyone.

Rated 5/5 based on over 140 reviews across SourceForge, Capterra, GetApp, Software World, DEVPOST, and G2.

‘Easy IoT solutions.’
‘A practical solution
for connecting our
machinery and data.’
Etiko, CEO, Machinery
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developer-friendly.’
Chloe, IT
‘Allows us to deliver
a remarkable number
of different energy
and IoT solutions.’
Gavin, CEO
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alternative, eliminating
the heavy setups.’
‘A versatile low-code
platform that
really delivers.’
Marof, Outsourcing
‘The best balance
of no-code simplicity
and dev flexibility.’
Alexander, Developer

‘Switch to code when
needed is incredibly
useful.’
‘A true all-in-one
platform for
IT Teams.’
Margarita, IT Consultant
‘Rayven helps us
move from idea
to execution fast.’
James, Mechanist
‘We see Rayven as
a key part of our
digital transformation.’
Rob, CEO
‘Incredible for
monitoring our critical
medical storage.’
Tami, Pharmaceuticals
‘Fast automation, great
for fraud and
risk management.’
Frank, Risk Manager, Insurance
‘A powerful all-in-one
platform for building apps
and automations.’

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AI + ML integration that feeds models real-time data + operationalises its output.

Pick your AI or ML platform. See exactly how Rayven feeds it + operationalises it.

Every AI + ML platform hits the same wall: the real-time operational data is the hardest to reach, and predictions die in a notebook.

The real-time operational data your models need is the hardest to reach.

Predictions and agents die in a notebook.

Every source and target is another point-to-point build.