Amazon integration that reaches the systems other tools can't.
Connect Amazon Bedrock to every OT, IoT, app + operational system your agents run on. Ground foundation models and knowledge bases in live operational data, and action agent outputs downstream.
+
Live demo · Claude querying Amazon + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
Amazon is brilliant at what it does. Useless at everything else your data + AI needs to touch.
Bedrock agents answer from a knowledge base that trails live operations by hours, and their recommendations never reach the operational systems that would act on them.
The integration tool you've already tried probably can't fix it.
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 populate Bedrock knowledge bases and grounding
- ERP, work-order and field apps that Bedrock agent actions should drive
- Operational databases and lakes outside AWS holding the enterprise context
- Streaming event sources that should invoke Bedrock agents and models in real-time
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
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.
Live knowledge bases
Real-time OT, IoT, SCADA and app data streams into Bedrock knowledge bases and grounding sources, so foundation models retrieve current operations, not a stale document set.
Agent actions become tasks
Bedrock agent outputs and action groups post to ERP, work orders and field apps as records and tasks, closing the loop from reasoning to action.
Event-triggered invocation
State changes and threshold breaches invoke Bedrock models and agents in real-time with live context already attached, so responses fire on real events.
Retrieval on live data
Operational records and documents stream into a retrieval pipeline so Bedrock RAG grounds on current reality across every connected model.
Outputs where teams act
Model and agent outputs surface in operational dashboards, portals and conversational AI where operations and support teams act on them.
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 Bedrock knowledge-base freshness, agent action-group mapping and operational output writeback.
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.
Amazon 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 Bedrock's agent and RAG model.
Rayven signs Bedrock REST calls with AWS IAM SigV4 and streams live operational data into knowledge bases and grounding sources, handling per-model throughput quotas. Agent action groups map to real Rayven actions, so Bedrock outputs post to ERP and apps in real-time rather than stalling in a console.
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.
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.
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 Bedrock integration?
Amazon Bedrock integration connects Bedrock to your operational stack - OT, IoT, ERP, apps and databases - so foundation models and agents ground on live data and their outputs 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 Bedrock to other systems?
Rayven calls the Bedrock REST API and SDK with AWS IAM credentials, streaming live operational data into knowledge bases and grounding sources, then writing agent and model outputs back to targets. See the Rayven Platform for how the layers fit.
What can Rayven ground Bedrock models on?
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. Knowledge bases stay current against live operations.
Does Rayven replace Amazon Bedrock?
No. Rayven is not an AI platform and does not replace Bedrock - it is the real-time AI data fabric that grounds your Bedrock models and agents in live operational data and operationalises their outputs. Your models and agents stay on Bedrock.
What are common Amazon Bedrock integration use cases?
Live knowledge bases, event-triggered agent invocation, RAG on live data and pushing agent actions into ERP and work orders. See the automations above for specifics.
What are the technical specifics of Amazon Bedrock integration with Rayven?
Rayven integrates Amazon Bedrock through its REST API and SDK, authenticating with AWS IAM and SigV4 request signing, and respecting per-model and per-region throughput quotas. Foundation-model invocation, agents, action groups, knowledge bases and guardrails are handled as first-class flows. Live operational data - OT, IoT, SCADA, ERP and app events - streams into knowledge bases and retrieval sources via 1,228+ connectors, OPC-UA, MQTT, CDC and API, so models ground on current operations rather than a stale document set. Agent action groups are wired to real Rayven actions, so outputs write back to operational targets like ERP, work orders and dashboards with field-level mapping. Historical context comes from connected data warehouses and lakes. Guardrail and citation metadata is preserved through the flow. Validated against Bedrock model-invocation and agent endpoints, Rayven stays the AI data fabric around Bedrock - it never becomes or replaces your model platform.
Amazon + 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.