META INTEGRATION · BUILT FOR EVERYTHING ELSE

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

Connect Meta Llama to every OT, IoT, app + operational system your deployments run on. Ground your Llama models in live operational data, and push their outputs into the systems that act.

Get my Meta integration plan → Talk to us

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

Live demo · Claude querying Meta + ops via Rayven MCP

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

All flowing. Ground Llama in operations is live. No blockers flagged.

OT, IoT + operational systemsMeta Llama

Trusted by 240+ teams across Australia + globally

THE REALITY

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

Self-hosted Llama serves fast but has no live view of operations, RAG runs on a static index, and outputs stay in an inference log instead of driving actions in 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 Meta, 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 ground Llama prompts and RAG
ERP, work-order and operational apps that Llama outputs should drive
Operational databases and lakes holding the context Llama needs
Streaming event sources that should trigger Llama inference 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.

Meta + 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

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

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

OT, IoT + operational systems → Meta Llama

Ground Llama in operations

Real-time OT, IoT, SCADA and app data streams into your Llama deployment as prompt context and RAG, so models reason on current operations rather than a static index.

Top 5 accounts trending toward churn?

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

MetaOTProduct DB

Meta Llama → ERP + operational apps

Outputs become actions

Llama outputs and tool calls post to ERP, work orders and operational apps in real-time, so a generated result becomes an operational task.

Which won deals are stuck pre-invoice?

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

MetaERP + operational appsXero

Operational events → Llama inference

Event-triggered inference

State changes and threshold breaches trigger Llama inference in real-time with live context attached, so responses fire on real events.

Status check - is everything in sync?

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

MetaOperational eventsLlama inference

Enterprise documents → Llama embeddings + RAG

Live RAG, not stale

Operational records and documents stream into a retrieval pipeline so your Llama RAG reflects current reality across connected systems.

Booked revenue vs Meta closed-won this month?

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

MetaEnterprise documentsLlama embeddings + RAG

Meta Llama → Dashboards + portals

Surface outputs to teams

Model outputs surface in operational dashboards, portals and conversational AI 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.

MetaDashboards + portalsUnified

BEYOND INTEGRATION

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

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

AI-ready data layer (AI Data Fabric)

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

Automation + AI agents

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

All on top of your existing stack. No rip + replace. Meta stays Meta. Rayven works on what you've already built. Specifically tuned for self-hosted Llama endpoints, live RAG grounding and output 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

META INTEGRATION · WHICH PATH

Pick the right tool for your stack.

Meta 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

Meta to other cloud apps

Yes

Best in class

Yes

DIY effort

Meta 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

Self-hosted Llama feed + operational actioning

Built in

No self-hosted 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.

SELF-HOSTED MODEL FEED

Built for Llama's self-hosted and managed model.

Rayven calls your Llama endpoint over OpenAI-compatible or native REST, streaming live operational data in as context and RAG regardless of host. Tool calls map to real actions and outputs write back to ERP and apps in real-time, so a self-hosted Llama drives operational tasks, not just inference logs.

5/5 · 140+ REVIEWS

We stay after go-live.

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

FAQS

The questions Meta admins, RevOps + IT ask first.

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

The 30-minute call covers

Your Meta + 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 Meta Llama integration?

Meta Llama integration connects your Llama deployment to your operational stack - OT, IoT, ERP, apps and databases - so models ground on live data and 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 Meta Llama to other systems?

Rayven calls your Llama endpoint, whether self-hosted or via a managed host, over its OpenAI-compatible or native REST API, streaming operational data in and writing outputs back to targets. See the Rayven Platform for how the layers fit.

Does Rayven work with self-hosted Llama?

Yes. Rayven grounds and operationalises Llama whether self-hosted or hosted by a provider, feeding live operational data via 1,228+ connectors, OPC-UA, MQTT, CDC and API, plus database sources. The host does not change the fabric.

Does Rayven replace Meta Llama?

No. Rayven is not an AI platform and does not replace Llama - it is the real-time AI data fabric that grounds your Llama models in live operational data and operationalises their outputs. Your models and hosting stay yours.

What are common Meta Llama integration use cases?

Grounding Llama in live operations, live RAG, event-triggered inference and pushing outputs into ERP and apps. See the automations above for specifics.

What are the technical specifics of Meta Llama integration with Rayven?

Rayven integrates Meta Llama through its serving endpoint, whether self-hosted or via a managed host, over an OpenAI-compatible or host-specific REST API with token or key authentication. Chat, embedding and tool-use calls are handled as first-class flows, and endpoint differences between hosts are abstracted so the fabric stays consistent. Live operational data - OT, IoT, SCADA, ERP and app events - streams in as prompt context and embedding inputs via 1,228+ connectors, OPC-UA, MQTT, CDC and API, so models reason on current operations rather than a static index. Tool calls resolve to real Rayven actions and outputs write back to operational targets like ERP, work orders and dashboards with field-level mapping. Self-hosted and database sources connect identically. Validated against OpenAI-compatible and native Llama endpoints, Rayven stays the AI data fabric around your Llama deployment - it never becomes or replaces your model.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

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

Meta 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.

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

Ground Llama in operations

Outputs become actions

Event-triggered inference

Live RAG, not stale

Surface outputs 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 Llama's self-hosted and managed model.

We stay after go-live.

Hosted your way, where you need.

The questions Meta admins, RevOps + IT ask first.

The 30-minute call covers

What is Meta Llama integration?

How does Rayven connect Meta Llama to other systems?

Does Rayven work with self-hosted Llama?

Does Rayven replace Meta Llama?

What are common Meta Llama integration use cases?

What are the technical specifics of Meta Llama integration with Rayven?

Meta + AI integration.
In weeks, not months.

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

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

Meta 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.

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

Ground Llama in operations

Outputs become actions

Event-triggered inference

Live RAG, not stale

Surface outputs 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 Llama's self-hosted and managed model.

We stay after go-live.

Hosted your way, where you need.

The questions Meta admins, RevOps + IT ask first.

The 30-minute call covers

What is Meta Llama integration?

How does Rayven connect Meta Llama to other systems?

Does Rayven work with self-hosted Llama?

Does Rayven replace Meta Llama?

What are common Meta Llama integration use cases?

What are the technical specifics of Meta Llama integration with Rayven?

Meta + 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.

Meta + AI integration.
In weeks, not months.