H2O INTEGRATION · BUILT FOR EVERYTHING ELSE

H2O integration that reaches the systems other tools can't.

Connect H2O AI Cloud to every OT, IoT, app + operational system your models run on. Feed AutoML and GenAI with live operational features, and push scores into the systems that act.

Get my H2O integration plan → Talk to us

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

Live demo · Claude querying H2O + ops via Rayven MCP

What's the status of the OT, IoT + operational systems → H2O AutoML flow today?

All flowing. Feed AutoML live data is live. No blockers flagged.

OT, IoT + operational systemsH2O AutoML

Trusted by 240+ teams across Australia + globally

THE REALITY

H2O is brilliant at what it does. Useless at everything else your data + AI needs to touch.

AutoML trains on batch snapshots, MOJO scoring endpoints receive inputs that trail live operations, and model scores never reach the systems that would act on them.

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 H2O, Slack + a thousand other cloud apps. Cheap + fast for the easy half of integration. Where they hit a wall:

Real-time OT, IoT and SCADA data that should feed H2O AutoML training and scoring
ERP, work-order and operational apps that H2O scores should drive
Operational databases and lakes holding the source features
Streaming event sources that should trigger H2O scoring endpoints in real-time

What Rayven reaches

OT, IoT, ERP, apps + operations. 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.

H2O + every ERP, database and enterprise data system
OT/IoT, ERP, apps, databases, streaming + 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

H2O + Rayven: AI, automation + tools that reach every system you run.

5 examples of what Rayven customers run on H2O + integrated systems. Built in weeks, not months.

OT, IoT + operational systems → H2O AutoML

Feed AutoML live data

Real-time OT, IoT, SCADA and app data streams into H2O AI Cloud for training and scoring, so AutoML models learn from current operations rather than snapshots.

Top 5 accounts trending toward churn?

5 flagged. Usage drop + support backlog + late renewal. Owners notified.

H2OOTProduct DB

H2O scoring endpoints → ERP + operational apps

Scores become actions

H2O MOJO scoring outputs post to ERP, work orders and operational apps in real-time, turning a model score into a task.

Which won deals are stuck pre-invoice?

3 stuck. 2 drafts in accounting, 1 awaiting PO. Auto-finalise?

H2OERP + operational appsXero

Operational events → H2O endpoints

Event-triggered scoring

State changes and threshold breaches call H2O scoring endpoints in real-time with live features attached, so predictions fire on real events.

Status check - is everything in sync?

All current. Last sync 38 seconds ago, no backlog.

H2OOperational events

Enterprise documents → H2O GenAI

Ground GenAI in live data

Operational records and documents stream into a retrieval pipeline so H2O generative AI grounds on current reality.

Booked revenue vs H2O closed-won this month?

$2.41M booked, $2.39M closed-won. Two deals awaiting invoice - flagged.

H2OEnterprise documentsNetSuite

H2O AI Cloud → Dashboards + portals

Surface scores to teams

Predictions and generated outputs surface in operational dashboards, field apps and portals where operations and engineering teams act on them.

Full picture on this account before my call?

Brief loaded. 8 open items, 3 risks, 2 expansion signals.

H2ODashboards + portalsUnified

BEYOND INTEGRATION

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

Rayven isn't just a H2O connector. It's the operational software platform underneath - so once H2O is connected, four more capabilities come online by default.

AI-ready data layer (AI Data Fabric)

H2O 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 →

Live AI access (Rayven MCP)

Claude, ChatGPT + Gemini get live, governed access to H2O and every other connected system. Your AI stops guessing - cites real H2O records + numbers.
Learn more →

Automation + AI agents

Workflows + AI agents act on H2O data without human intervention - escalate at-risk accounts, trigger operational work, auto-update forecasts, draft customer comms.
Learn more →

Custom apps + portals

Unified customer portals, ops dashboards, mobile field apps, partner portals - built on top of integrated H2O data. No separate BI tool, no separate dev stack.
Learn more →

All on top of your existing stack. No rip + replace. H2O stays H2O. Rayven works on what you've already built. Specifically tuned for H2O MOJO scoring calls, live AutoML features and score writeback into operations.

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

Predictive AI + ML

Conversational AI

Real-time Training

AI-led Execution

Multimodal AI

Anomaly Detection

Forecasting

Vision + Edge

Gen AI Summaries

H2O INTEGRATION · WHICH PATH

Pick the right tool for your stack.

H2O 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

H2O to other cloud apps

Yes

Best in class

Yes

DIY effort

H2O 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

H2O AutoML feature feed + scoring writeback

Built in

No MOJO scoring

Custom build

Hard to get right

AI-ready data layer + MCP for AI

Built in

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.

AUTOML SCORING NATIVE

Built for H2O's MOJO scoring model.

Rayven streams live operational data into H2O AI Cloud for training and calls MOJO REST scoring endpoints in real-time with token auth. Scores write back to ERP, work orders and apps as records, so an H2O AutoML prediction drives an operational action rather than sitting in the MLOps console.

5/5 · 140+ REVIEWS

We stay after go-live.

No handoff. No disappearing. Rayven is a long-term partner when your H2O 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 H2O data needs to live. Your residency, your rules, your local compliance environment.

FAQS

The questions H2O admins, RevOps + IT ask first.

If you're evaluating Rayven for H2O integration, these are the things worth knowing before booking a call.

The 30-minute call covers

Your H2O + 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 H2O AI Cloud integration?

H2O AI Cloud integration connects H2O to your operational stack - OT, IoT, ERP, apps and databases - so AutoML trains on live data and scoring reaches the systems that act. Rayven delivers it as part of an AI data fabric, not a single-purpose connector.

How does Rayven connect H2O AI Cloud to other systems?

Rayven uses H2O's REST scoring endpoints (MOJO) and Python API, with token auth, to stream operational data in and write scores back to targets. See the Rayven Platform for how the layers fit.

What data can Rayven feed H2O models?

Real-time OT, IoT, SCADA, ERP, app and database data via 1,228+ connectors, OPC-UA, MQTT, CDC and API, plus data warehouse and lake history. AutoML and scoring stay fresh against live operations.

Does Rayven replace H2O AI Cloud?

No. Rayven is not an ML platform and does not replace H2O - it is the real-time AI data fabric that feeds your AutoML live features and operationalises its scores. Your models and scoring stay in H2O.

What are common H2O AI Cloud integration use cases?

Live training data, event-triggered scoring, grounding GenAI and pushing scores into ERP and operational apps. See the automations above for specifics.

What are the technical specifics of H2O AI Cloud integration with Rayven?

Rayven integrates H2O AI Cloud through its REST scoring endpoints (MOJO) and Python API with token authentication, respecting per-endpoint scoping. Driverless AI AutoML, H2O-3 models, Document AI, generative AI and MLOps scoring are handled as first-class flows. Live operational data - OT, IoT, SCADA, ERP and app events - streams in for training features and real-time scoring via 1,228+ connectors, OPC-UA, MQTT, CDC and API, so AutoML never learns or scores on stale snapshots. Score outputs write back to operational targets like ERP, work orders and dashboards with field-level mapping. MLOps monitoring is fed live data so drift is caught early, and historical context comes from connected data warehouses and lakes. Validated against H2O MOJO scoring endpoints, Rayven stays the AI data fabric around H2O - it never becomes or replaces your model platform.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

H2O integration that reaches the systems other tools can't.

H2O is brilliant at what it does. Useless at everything else your data + AI needs to touch.

App-to-app. Useful, until it isn't.

OT, IoT, ERP, apps + operations. One platform.

H2O + Rayven: AI, automation + tools that reach every system you run.

Feed AutoML live data

Scores become actions

Event-triggered scoring

Ground GenAI in live data

Surface scores to teams

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

AI-ready data layer (AI Data Fabric)

Live AI access (Rayven MCP)

Automation + AI agents

Custom apps + portals

Rayven is a five-layer platform ALL your integrations + much more
can run on.

Pick the right tool for your stack.

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

Platform + team. One commercial.

Built for H2O's MOJO scoring model.

We stay after go-live.

Hosted your way, where you need.

The questions H2O admins, RevOps + IT ask first.

The 30-minute call covers

What is H2O AI Cloud integration?

How does Rayven connect H2O AI Cloud to other systems?

What data can Rayven feed H2O models?

Does Rayven replace H2O AI Cloud?

What are common H2O AI Cloud integration use cases?

What are the technical specifics of H2O AI Cloud integration with Rayven?

H2O + AI integration.
In weeks, not months.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

H2O integration that reaches the systems other tools can't.

H2O is brilliant at what it does. Useless at everything else your data + AI needs to touch.

App-to-app. Useful, until it isn't.

OT, IoT, ERP, apps + operations. One platform.

H2O + Rayven: AI, automation + tools that reach every system you run.

Feed AutoML live data

Scores become actions

Event-triggered scoring

Ground GenAI in live data

Surface scores to teams

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

AI-ready data layer (AI Data Fabric)

Live AI access (Rayven MCP)

Automation + AI agents

Custom apps + portals

Rayven is a five-layer platform ALL your integrations + much morecan run on.

Pick the right tool for your stack.

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

Platform + team. One commercial.

Built for H2O's MOJO scoring model.

We stay after go-live.

Hosted your way, where you need.

The questions H2O admins, RevOps + IT ask first.

The 30-minute call covers

What is H2O AI Cloud integration?

How does Rayven connect H2O AI Cloud to other systems?

What data can Rayven feed H2O models?

Does Rayven replace H2O AI Cloud?

What are common H2O AI Cloud integration use cases?

What are the technical specifics of H2O AI Cloud integration with Rayven?

H2O + AI integration.In weeks, not months.

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

Rayven is a five-layer platform ALL your integrations + much more
can run on.

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

H2O + AI integration.
In weeks, not months.