AMAZON INTEGRATION · BUILT FOR EVERYTHING ELSE

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

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

Get my Amazon integration plan → Talk to us

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

Live demo · Claude querying Amazon + ops via Rayven MCP

What's the status of the OT, IoT + operational systems → SageMaker Feature Store flow today?

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

OT, IoT + operational systemsSageMaker Feature Store

Trusted by 240+ teams across Australia + globally

THE REALITY

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

Feature Store groups load on a schedule, real-time endpoints score on inputs that trail operations, and predictions land in S3 nobody wired back into the systems that act.

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 Amazon, 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 the SageMaker Feature Store and inference
ERP, work-order and operational apps that SageMaker predictions should drive
Operational databases outside AWS holding the source features
Streaming event sources that should invoke SageMaker 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.

Amazon + 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

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

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

OT, IoT + operational systems → SageMaker Feature Store

Live features, not batch

Real-time OT, IoT, SCADA and app data streams into the SageMaker Feature Store, so training and inference use features that match current operations.

Top 5 accounts trending toward churn?

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

AmazonOTSageMaker Feature Stor

SageMaker endpoints → ERP + operational apps

Predictions become actions

SageMaker real-time endpoint outputs post to ERP, work orders and operational apps in real-time, turning a prediction into a task.

Which won deals are stuck pre-invoice?

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

AmazonSageMaker endpointsERP + operational apps

Operational events → SageMaker endpoints

Event-triggered inference

State changes and threshold breaches invoke SageMaker endpoints in real-time with live features attached, so scores fire on real events.

Status check - is everything in sync?

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

AmazonOperational eventsSageMaker endpoints

Operational systems → SageMaker training

Live training data

Operational records and signals stream into training jobs and pipelines so models learn from current operations, not a snapshot.

Anything that needs my attention right now?

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

AmazonOperational systemsSageMaker training

Amazon SageMaker → Dashboards + portals

Surface predictions to teams

Predictions and monitoring 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.

AmazonDashboards + portalsUnified

BEYOND INTEGRATION

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

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

AI-ready data layer (AI Data Fabric)

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

Automation + AI agents

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

All on top of your existing stack. No rip + replace. Amazon stays Amazon. Rayven works on what you've already built. Specifically tuned for SageMaker online Feature Store freshness, real-time endpoint invocation and prediction writeback.

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

AMAZON INTEGRATION · WHICH PATH

Pick the right tool for your stack.

Amazon 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

Amazon to other cloud apps

Yes

Best in class

Yes

DIY effort

Amazon 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

SageMaker endpoint feed + feature-store sync

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.

ENDPOINT + FEATURE STORE FEED

Built for SageMaker's endpoint and feature model.

Rayven signs SageMaker REST calls with AWS IAM SigV4 and streams live operational data into the online Feature Store, keeping features fresh. Real-time endpoints are invoked and their outputs write back to ERP and apps as records, so a SageMaker prediction drives an operational action, not an S3 file.

5/5 · 140+ REVIEWS

We stay after go-live.

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

FAQS

The questions Amazon admins, RevOps + IT ask first.

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

The 30-minute call covers

Your Amazon + 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 Amazon SageMaker integration?

Amazon SageMaker integration connects SageMaker 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 Amazon SageMaker to other systems?

Rayven uses the SageMaker REST API and SDK with AWS IAM credentials to stream operational data into the Feature Store and invoke endpoints, then writes predictions back to targets. See the Rayven Platform for how the layers fit.

What data can Rayven feed SageMaker?

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 and inference stay fresh against live operations.

Does Rayven replace Amazon SageMaker?

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

What are common Amazon SageMaker integration use cases?

Live Feature Store data, event-triggered inference, live training data and pushing predictions into ERP and operational apps. See the automations above for specifics.

What are the technical specifics of Amazon SageMaker integration with Rayven?

Rayven integrates Amazon SageMaker through its REST API and SDK with AWS IAM and SigV4 request signing, respecting endpoint autoscaling and concurrency limits. Training jobs, pipelines, the online and offline Feature Store, real-time and batch inference endpoints and Model Monitor are handled as first-class flows. Live operational data - OT, IoT, SCADA, ERP and app events - streams into the online Feature Store and inference inputs via 1,228+ connectors, OPC-UA, MQTT, CDC and API, so models never train or score on stale snapshots. Prediction outputs write back to operational targets like ERP, work orders and dashboards with field-level mapping. Model Monitor is fed live data so drift is caught early, and historical context comes from connected data warehouses and lakes. Validated against SageMaker real-time and batch endpoints, Rayven stays the AI data fabric around SageMaker - it never becomes or replaces your model platform.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

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

Amazon 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.

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

Live features, not batch

Predictions become actions

Event-triggered inference

Live training data

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 SageMaker's endpoint and feature model.

We stay after go-live.

Hosted your way, where you need.

The questions Amazon admins, RevOps + IT ask first.

The 30-minute call covers

What is Amazon SageMaker integration?

How does Rayven connect Amazon SageMaker to other systems?

What data can Rayven feed SageMaker?

Does Rayven replace Amazon SageMaker?

What are common Amazon SageMaker integration use cases?

What are the technical specifics of Amazon SageMaker integration with Rayven?

Amazon + AI integration.
In weeks, not months.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

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

Amazon 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.

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

Live features, not batch

Predictions become actions

Event-triggered inference

Live training data

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 SageMaker's endpoint and feature model.

We stay after go-live.

Hosted your way, where you need.

The questions Amazon admins, RevOps + IT ask first.

The 30-minute call covers

What is Amazon SageMaker integration?

How does Rayven connect Amazon SageMaker to other systems?

What data can Rayven feed SageMaker?

Does Rayven replace Amazon SageMaker?

What are common Amazon SageMaker integration use cases?

What are the technical specifics of Amazon SageMaker integration with Rayven?

Amazon + 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.

Amazon + AI integration.
In weeks, not months.