Your data can’t leave. So the AI comes to it.

TonsleyAI is sovereign AI for Australian organisations: private AI that runs entirely inside your own environment - so teams 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. Australian-based, German-engineered.

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Your environment

Your documents Your systems

TonsleyAI

reads · checks · decides · acts

Answers, with sources Work written back

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.

The question that comes first

Can this data leave the building?

✕ WHERE MOST PROJECTS STOP

The agent work never starts, however good the demo was.

✓ ANSWERED FIRST, THEN BUILT

Multi-step automation runs inside your own environment - controlled, audited, on data that stays put.

What teams use it for

Pick the job you would hand over first

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.

These are not four separate products. They are four jobs the same platform does - connected, so an answer found in your documents can trigger the work that follows it. Each one is a build we have done before, customised to your rules and your systems, and running inside your own environment.

Ready to customise, not built from scratch. See six things we build →

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.

Where it runs

Sovereign AI, at the level your data requires

Your own cloud, your own building, or a box we deliver. Which one you need is a question about your data rather than about technology - and it is the question we answer before anything gets built, not after.

Why this is becoming everyone's question, not just ours. What sovereign AI actually means →

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.

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.