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Your data can't go in ChatGPT.
This is the AI you can use.

TonsleyAI is private AI that runs entirely inside your own environment — so organisations with regulated, confidential or commercially sensitive data (law firms, finance and healthcare, government, and manufacturers guarding their IP) can finally put AI to work without the data-exposure risk that blocks everyone else.

Runs in your environment. Never exposes your data to third parties. Adelaide-based, German-engineered.

Book a free AI Reality Check See how it works
✕ Public AI — ChatGPT, Geminidata leaves ✕
Your environment
Your documentsYour modelsYour workflows
Data stays in. Intelligence comes out.

The execution gap

Most AI projects stall on one thing — the data can’t leave the building.

Everyone is selling agents. For organisations holding sensitive data the blocking question comes earlier — can this data leave the building? TonsleyAI answers that first, then does the agentic work anyway: multi-step automation running inside your own environment, controlled and fully audited, on data that never leaves it.

What teams use it for

Start with the problem you already have

Answers out of your own documents
Contracts, reports, policies, decades of project history — ask in plain English (or in another language) and get an answer with its source cited. Research that took an afternoon of manual searching takes seconds.
Enquiries turned into orders
Incoming enquiries read, checked against your own rules, priced, and written into your ERP — so work moves from inbox to production without your experts doing data entry.
Work checked against the rules
A consistent first-pass reviewer in front of your experts: training materials gap-checked against the standards, code checked against policy, custom orders checked for fit-for-purpose.
New business found for you
The sources your work actually comes from — tenders, registers, industry news — watched and filtered down to the opportunities worth a call. Oilpath Hydraulics finds around 20 a week this way.

Those are four jobs, not four products. Single-domain tools solve one each and leave the joining-up to you; TonsleyAI runs them on one platform with a workflow engine connecting them — open-weight models sized to the hardware you run them on (up to 200B in the AI-in-a-Box appliance) or the hyperscaler's frontier models if you start semi-private, fine-tuned on your data, wired into the systems you already run through 500+ integrations, with role-based access and full audit trails. If you can describe the job, we can build it.

Public vs. semi-private vs. private

How private AI compares

Most deployments use more than one of these. The skill is matching each job to the lightest tier its data allows — a public model for open research, your own tenant for day-to-day work, fully private for anything confidential.

Public AI
OpenAI, Copilot, Gemini
Fast, capable, and genuinely useful for open work — market research, general drafting, anything already public. But your prompts may be used for training with limited opt-out, which makes it the wrong home for client files, patient records or commercially sensitive material. Right tool, narrow remit.
Semi-Private AI
Azure OpenAI, Bedrock, Vertex
Runs inside your own cloud tenant — the practical starting point for most SMEs: no upfront hardware to buy, and no model-size ceiling, because you draw on the hyperscaler's frontier models rather than your own. Your data stays in your tenant and isn't used to train public models, though some processing still passes through the cloud vendor — low exposure, best suited to internal and lower-sensitivity work.
Private AI
Fully self-hosted
Data never leaves your secure infrastructure — private cloud or on-premises. Zero data-exposure risk. Safeguards your IP, enables custom knowledge integration, and meets your regulatory and security obligations.

Deployment

Deploy your way — start low-cost, scale to air-gapped

Private Cloud
Your AWS, Azure or GCP tenant. Region-resident by default, full audit logging. Low or no upfront cost.
Semi-Private
Your cloud plus hyperscaler frontier models (Azure OpenAI, Bedrock, Vertex) — no upfront hardware. The practical first step for most SMEs.
On-Premises
Air-gapped-capable, on your own hardware behind your firewall — open-weight model size scales with the hardware you provide.
AI-in-a-Box
A pre-configured appliance, up to 200B open-weight model parameters, operational in a day — on-prem without the setup.

No per-seat licensing. No usage-based pricing on your hardware. One platform, your infrastructure — every deployment includes ongoing support.

Proven in production

Already running in production

Already powering private AI products in the market.

In production
Already powering private AI products in market — including run-e’s AI Fieldwork Manager for regulated market research.
Private by design
Your data never leaves your infrastructure — no third-party access, no cloud vendor lock-in.
Zero data exposure
Built to be compliant and deployed inside your own environment — so compliance control stays with you.

By industry

Or start from your industry

LegalQuery privileged case files without them leaving the firm.→ Finance & accountingIntelligence over confidential client documents, inside your compliance boundary.→ HealthcareWork with clinical data privately, on infrastructure you control.→ Government & defenceSensitive material with data residency and full audit trails.→ Training & RTOsGap-check your own materials against the standards.→ ManufacturingAutomate quality checks and order handling on your own systems.→

Your first step

Find out what AI can do — before you spend a cent building

We build private AI, so we’re straight about what’s safe to put near AI. Both workshops end in one costed Proof-of-Value — and we credit the full fee if you go ahead.

Free · 30 minutes
AI Reality Check
Honest advice on whether a workshop is worth your time, and which one.
Book a free AI Reality Check
Half day
AI Opportunity Sprint - A$1,650
A ranked shortlist of opportunities, a plain-English safe-vs-private data map, and your best first use case scoped.
Full day
AI Strategy Day - A$3,300
Everything in the Opportunity Sprint, plus leadership alignment, data strategy, a 3- and 6-month roadmap, and your first Proof-of-Value scoped.

The AI shift

“We have processes and ideas — we just haven’t known where to start until now.”

Damia Ettakadoumi, Director at Straight Up

Ready to bring AI inside your walls?

Start with a free 30-minute AI Reality Check — we’ll tell you honestly whether private AI is worth your time, and where to begin.

Book a free AI Reality Check

Private, self-hosted AI for regulated, confidential and commercially sensitive Australian organisations. Adelaide-based, German-engineered.

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