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Private AI · self-hosted · Australian

Government & defence

Put AI to work on sensitive material - with data residency, sovereignty and full audit trails.

Sensitive and classified material demands data residency, sovereignty and auditability that public AI can't meet.

Your environment - your own cloud, or your own building

AdviceSubmissionsPublished positions
TonsleyAI, running inside
Answers, with a full audit trail

Data residency is a property of the deployment, not a promise. Air-gapped where the work requires it.

How it works

Air-gapped or on-premises deployment on infrastructure you own.

Compliance in scope

PSPF · ISM · Australian Privacy Principles · data sovereignty.

In practice

We replaced a clunky wiki knowledge base with a private AI assistant staff can simply talk to - contextual answers in seconds, entirely inside their environment. We’ve also delivered our “AI Shift” opportunity programme to businesses in the City of Marion, funded by the council.

What it would look like for you

A policy officer needs to know what the agency has already committed to on a topic - across a decade of published positions, internal advice and answers to previous questions on notice. The material exists and is technically searchable; in practice it is three people's memory and a shared drive. Asked once, answered with every source named, in an environment that can be air-gapped where the work requires it.

That is Document Answers and Gap-Checker - two of the six builds we start from, customised to how your agency actually works. See all six →

In August 2026 both houses of Parliament appointed a committee on artificial intelligence whose terms of reference name sovereign AI capability and data sovereignty directly. The public record so far →

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