GOOGLE INTEGRATION · BUILT FOR EVERYTHING ELSE

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

Connect Google Vertex AI to every OT, IoT, app + operational system your models run on. Feed training and inference with live operational features, and push Vertex predictions into the systems that act.

Get my Google integration plan → Talk to us

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

Live demo · Claude querying Google + ops via Rayven MCP

What's the status of the OT, IoT + operational systems → Vertex AI feature store flow today?

All flowing. Live features, not batch loads is live. No blockers flagged.

OT, IoT + operational systemsVertex AI feature store

Trusted by 240+ teams across Australia + globally

THE REALITY

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

Data scientists retrain Vertex models on batch exports, feature freshness lags reality, and predictions land in a dashboard nobody wired back into operations.

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 Google, 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 Vertex features and Gemini grounding
ERP, work-order and operational apps that Vertex predictions should drive
Operational databases and lakes outside Google Cloud holding training data
Streaming event sources that should trigger Vertex endpoints and pipelines live

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.

Google + 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

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

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

OT, IoT + operational systems → Vertex AI feature store

Live features, not batch loads

Real-time OT, IoT, SCADA and app data streams into the Vertex feature store, so models train and infer on features that match current operations.

Top 5 accounts trending toward churn?

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

GoogleOTVertex AI feature stor

Vertex AI endpoints → ERP + operational apps

Predictions become actions

Vertex prediction outputs post to ERP, work orders and operational apps in real-time, turning a score into a task rather than a chart.

Which won deals are stuck pre-invoice?

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

GoogleVertex AI endpointsERP + operational apps

Enterprise documents + records → Gemini on Vertex

Ground Gemini in live data

Operational records and documents stream into a retrieval pipeline so Gemini models on Vertex ground on current reality, not a stale index.

Reconcile this month's pipeline + finance.

$1.82M aligned, $48k variance flagged. Owners notified.

GoogleEnterprise documentsGemini on Vertex

Operational events → Vertex AI pipelines

Event-triggered retraining

New data and drift signals trigger Vertex pipelines and batch predictions automatically, so models refresh against live operations without manual runs.

Anything that needs my attention right now?

3 items. 1 deal stuck, 1 account flagged, 1 task overdue.

GoogleOperational eventsVertex AI pipelines

Vertex AI → Dashboards + portals

Surface predictions to teams

Forecasts and scores surface in operational dashboards, field apps and portals where engineering and operations teams act on them.

Full picture on this account before my call?

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

GoogleVertex AIDashboards + portals

BEYOND INTEGRATION

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

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

AI-ready data layer (AI Data Fabric)

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

Automation + AI agents

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

All on top of your existing stack. No rip + replace. Google stays Google. Rayven works on what you've already built. Specifically tuned for Vertex AI feature-store freshness, Gemini grounding and prediction 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

GOOGLE INTEGRATION · WHICH PATH

Pick the right tool for your stack.

Google 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

Google to other cloud apps

Yes

Best in class

Yes

DIY effort

Google 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

Vertex AI feature grounding + prediction actioning

Built in

No feature store feed

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.

GEMINI + PIPELINES NATIVE

Built for Vertex's feature store and serving model.

Rayven authenticates via Google Cloud IAM and streams live operational data into the Vertex feature store through its REST APIs, keeping features fresh against current operations. Online and batch prediction outputs write back to operational endpoints in real-time, turning Vertex scores into ERP and app actions.

5/5 · 140+ REVIEWS

We stay after go-live.

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

FAQS

The questions Google admins, RevOps + IT ask first.

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

The 30-minute call covers

Your Google + 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 Vertex AI integration?

Vertex AI integration connects Google Vertex AI to your operational stack - OT, IoT, ERP, apps and databases - so models train on live features and predictions reach the systems that act. Rayven delivers it as part of an AI data fabric, not a single-purpose connector.

How does Rayven connect Vertex AI to other systems?

Rayven uses Vertex AI's REST APIs and SDKs to stream operational data into the feature store and to write prediction outputs back to targets. See the Rayven Platform for how the integration and execution layers work.

What data can Rayven feed Vertex AI 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. Features stay fresh against live operations, so drift is caught early.

Does Rayven replace Vertex AI?

No. Rayven is not an ML platform and does not replace Vertex AI - it is the real-time AI data fabric that feeds your Vertex models live features and operationalises their predictions. Your training, tuning and serving stay on Vertex.

What are common Vertex AI integration use cases?

Live feature pipelines, grounding Gemini in operational data, event-triggered retraining and pushing predictions into ERP and operational apps. See the automations above for specifics.

What are the technical specifics of Google Vertex AI integration with Rayven?

Rayven integrates Google Vertex AI through its REST APIs and client SDKs, authenticating with Google Cloud IAM and respecting regional endpoints and quota limits. Training jobs, tuning, the feature store, online and batch prediction endpoints, pipelines and Gemini models are handled as first-class flows. Live operational data - OT, IoT, SCADA, ERP and app events - streams into the feature store as fresh features and into Gemini as grounding context via 1,228+ connectors, OPC-UA, MQTT, CDC and API, so models never train or infer on stale extracts. Prediction outputs write back to operational targets like ERP, work orders and dashboards with field-level mapping. Drift signals trigger pipeline runs automatically. Historical context comes from connected data warehouses and lakes. Validated against Vertex online and batch prediction endpoints, Rayven stays the AI data fabric around Vertex - it never becomes or replaces your model platform.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

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

Google 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.

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

Live features, not batch loads

Predictions become actions

Ground Gemini in live data

Event-triggered retraining

Surface predictions 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 Vertex's feature store and serving model.

We stay after go-live.

Hosted your way, where you need.

The questions Google admins, RevOps + IT ask first.

The 30-minute call covers

What is Vertex AI integration?

How does Rayven connect Vertex AI to other systems?

What data can Rayven feed Vertex AI models?

Does Rayven replace Vertex AI?

What are common Vertex AI integration use cases?

What are the technical specifics of Google Vertex AI integration with Rayven?

Google + AI integration.
In weeks, not months.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

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

Google 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.

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

Live features, not batch loads

Predictions become actions

Ground Gemini in live data

Event-triggered retraining

Surface predictions 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 Vertex's feature store and serving model.

We stay after go-live.

Hosted your way, where you need.

The questions Google admins, RevOps + IT ask first.

The 30-minute call covers

What is Vertex AI integration?

How does Rayven connect Vertex AI to other systems?

What data can Rayven feed Vertex AI models?

Does Rayven replace Vertex AI?

What are common Vertex AI integration use cases?

What are the technical specifics of Google Vertex AI integration with Rayven?

Google + 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.

Google + AI integration.
In weeks, not months.