PRIVATE AI

Private AI, deployed inside your environment.

Approved AI models connected to your documents, systems + real-time operational data - running entirely inside your private cloud or on-premises environment.

Governed end-to-end. Nothing sensitive ever leaves.

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★★★★★ 5/5 · 140+ reviews 99.9% platform uptime 2-12 wks to launch

YOUR DATA + SYSTEMS

ERP CRM Financial systems HR systems CMMS Portals + intranets SCADA / PLCs Machines Sensors / IoT Historians Field apps Data lake Data warehouse Databases Documents Video Photos + images AI models APIs + webhooks ERP CRM Financial systems HR systems CMMS Portals + intranets SCADA / PLCs Machines Sensors / IoT Historians Field apps Data lake Data warehouse Databases Documents Video Photos + images AI models APIs + webhooks

PRIVATE AI

RBAC · Audit log · Encryption

PUBLIC AI ✗

Trusted by 240+ teams across Australia + globally

THE REAL RISK

Your team is already using AI.
You just can’t see what they’re doing.

Right now, someone is pasting a contract, a customer list or next quarter’s numbers into a chatbot. That’s the fear locking AI down across your business - and the reason your most valuable use cases never ship.

Shadow AI, today Public tools, ungoverned

Contract + proposal drafting⚠ LEAKING

Board packs + financial models⚠ LEAKING

Customer records + PII⚠ LEAKING

Source code + proprietary IP⚠ LEAKING

Engineering + maintenance data⚠ LEAKING

Data leaves the building. You can’t see it, log it or stop it.

Private AI, governed Inside your environment

Contract + proposal drafting GOVERNED

Board packs + financial models GOVERNED

Customer records + PII GOVERNED

Source code + proprietary IP GOVERNED

Engineering + maintenance data GOVERNED

Same work. Every query scoped, logged + kept inside your walls.

42%

of organisations now abandon most AI projects before they reach production - up from 17% a year earlier. Governance and data-readiness, not the model, are what stall them.S&P Global Market Intelligence, 2025

WHY PRIVATE AI

Sovereignty, control + compliance -
without giving up capability.

Sovereign AI is now a competitive lever, not a concept - a market Gartner puts at roughly US$24.8B in 2026. Where your AI runs decides which use cases you’re allowed to ship.

Full data sovereignty

Your data, your IP + your AI models stay in the environment you control. Australian-built, with sovereign hosting available.

Sovereign-ready

Deploy on your terms

Private cloud, on-premises, edge or air-gapped - the architecture is agreed with you before anything is built.

On-premises available

Compliance-grade governance

RBAC, source permissions, audit logs + human approvals on every action. Evidence your security team can review, not marketing claims.

Audit-ready by default

Unlock blocked use cases

Ship the high-value AI governance couldn’t approve before - across engineering, operational, commercial + customer data.

Live in 2-12 weeks

Works over your existing stack

1,228+ fast-track connectors reach the IT, OT + field systems you already run. No rip and replace.

1,228+ connectors

AI that acts, safely

Outputs route into governed workflows, approvals + system actions. Value beyond a chatbot.

11 native AI capabilities

YOUR WORLD

THE RAYVEN PLATFORM

YOUR OUTCOMES

SCADA + OT

Databases (SQL, NoSQL)

Streaming Feeds

IoT + Edge Devices

Real-time Telemetry

Files + Documents

ERP + CRM Systems

APIs + Webhooks

SECURED PERIMETER

01INTEGRATIONAI

Connect anything, in + out

02DATAAI

Store, structure + serve

03EXECUTIONAI

Decide, automate + act

04PRESENTATIONAI

Show, ask + interact

05SECURITYAI

Protected, governed, hosted

Real-Time Dashboards

Conversational AI

Mobile + Web Apps

People + Approvals

AI Agents

Predictive AI + ML

Machine Control

Alerts + Notifications

Reports + Data Exports

API + Webhook

THE ALTERNATIVES

Three ways to get private AI.
One ships a platform.

RayvenPlatform + team Public AI assistantsCopilot, ChatGPT Enterprise Build it yourselfIn-house engineering

Runs inside your environment ✓ ✗ Their cloud only ● Eventually

Connected to your systems + data ✓ 1,228+ connectors ● Tenant data only ● Custom dev

Governed by default ✓ Every layer ● Tenant-level ● Build it

Acts - workflows + system actions ✓ ● Limited ● Build it

Time to live ✓ 2-12 weeks ✗ No private option ✗ 12-24+ months

Team after go-live ✓ Same team. Always. ✗ Vendor support ✗ Your headcount

Get my instant solution plan Free · AI-led · Instant plan, no call required

FREE EXPERT ASSESSMENT

Talk it through with an expert who’d help build it.

A senior Rayven expert. Your environment, your blocked use case, the fastest safe path to a pilot. No cost, no commitment.

Your first use case defined
Deployment architecture mapped - private cloud, on-premises or edge
Data + integration sources identified
Direct line to the engineer who’d run it

5/5 · 140+ reviews 99.9% uptime 2-12 wks to launch Australian team

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FAQ

The questions security + IT leaders
ask first.

Does any of our data leave our environment?

The architecture is designed so the agreed workload and data stay inside the environment you control. The exact answer depends on model downloads, telemetry, updates + support access - all documented in the solution design before anything is built. See how Security, Governance + Hosting works across the platform.

Can it be fully air-gapped?

Potentially. It depends on the model, dependencies, licensing + support requirements. We assess it during scoping rather than promise it upfront - see the supported deployment + architecture patterns.

Why not just use Microsoft Copilot or Azure OpenAI?

They’re right for plenty of use cases. Rayven fits when you need customer-hosted architecture, deeper operational integration, private model options, or governed workflows beyond a productivity assistant. Compare the full range of custom AI solutions.

Which AI model do you use?

Whichever fits the use case, infrastructure, accuracy, latency, licensing + security requirements. The value is the governed platform around the model, not a bet on one vendor. See AI models + training.

Will private AI be as accurate as the big public models?

Accuracy depends on the task, the model, data quality + retrieval design. The pilot compares performance against a test set you define, so you know it’s fit for the use case before you scale. The AI Data Fabric underneath is what keeps answers grounded in your real data.

Can the AI take action in our systems, or just answer questions?

Both. Outputs route into workflows + triggers - drafting, work orders, record updates, alerts - bounded by permissions, approvals and audit controls, inside the same boundary.

Is private deployment more expensive?

Not necessarily. Weigh compute, implementation and support against the value and risk of the use case - not token price alone. We make the trade-offs explicit in the free assessment.

Do we need our own private cloud already?

No. Many customers have one; where they don’t, we help scope and stand up the environment as part of the engagement. See hosting + management options.

Still have questions?

Get an instant, AI-led solution plan for your environment - or book 30 minutes with the engineer who’d run your project.

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★★★★★ 5/5 across 140+ reviews

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Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

Private AI, deployed inside your environment.

Your team is already using AI.
You just can’t see what they’re doing.

Sovereignty, control + compliance -
without giving up capability.

Full data sovereignty

Deploy on your terms

Compliance-grade governance

Unlock blocked use cases

Works over your existing stack

AI that acts, safely

The whole platform, inside your perimeter - not just a model + firewall.

From first call to live pilot
in 2-12 weeks.

Real operational data, unified +
put to work - at NSW Ports.

Three ways to get private AI.
One ships a platform.

Talk it through with an expert who’d help build it.

Book a session with an engineer

The questions security + IT leaders
ask first.

Does any of our data leave our environment?

Can it be fully air-gapped?

Why not just use Microsoft Copilot or Azure OpenAI?

Which AI model do you use?

Will private AI be as accurate as the big public models?

Can the AI take action in our systems, or just answer questions?

Is private deployment more expensive?

Do we need our own private cloud already?

Still have questions?

Sectors

Job Roles

Overview

Set Engagements

Overview

We Partner With

Library

Our Company

Private AI, deployed inside your environment.

Your team is already using AI.You just can’t see what they’re doing.

Sovereignty, control + compliance -without giving up capability.

Full data sovereignty

Deploy on your terms

Compliance-grade governance

Unlock blocked use cases

Works over your existing stack

AI that acts, safely

The whole platform, inside your perimeter - not just a model + firewall.

From first call to live pilotin 2-12 weeks.

Real operational data, unified +put to work - at NSW Ports.

Three ways to get private AI.One ships a platform.

Talk it through with an expert who’d help build it.

Book a session with an engineer

The questions security + IT leadersask first.

Does any of our data leave our environment?

Can it be fully air-gapped?

Why not just use Microsoft Copilot or Azure OpenAI?

Which AI model do you use?

Will private AI be as accurate as the big public models?

Can the AI take action in our systems, or just answer questions?

Is private deployment more expensive?

Do we need our own private cloud already?

Still have questions?

Your team is already using AI.
You just can’t see what they’re doing.

Sovereignty, control + compliance -
without giving up capability.

From first call to live pilot
in 2-12 weeks.

Real operational data, unified +
put to work - at NSW Ports.

Three ways to get private AI.
One ships a platform.

The questions security + IT leaders
ask first.