Sovereign AI, run on your own hardware.

We design, install and run AI inside your network, air-gapped where the work requires it. No case for local hardware? The same system runs in Australian sovereign cloud. Your records stay in your environment and nothing goes out without your people's sign-off. Four to six weeks to a working agent and a keep-or-stop number.

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Construction: Choose with the full picture.

Airon operational agents

Source-backed decisions. Permissioned actions. Human approval where consequence begins.

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Connected construction operations

Turn project knowledge into an edge on every job.

Airon connects the documents, decisions and field signals behind every project — helping teams move from opportunity to delivery with stronger control of time, cost and risk.

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What we do

First we understand the work. Then we build for it.

Whether the answer is an agent inside one workflow, hardware on a site, a governed connection into your records, or a policy-controlled route to a cloud model, it starts the same way — with what the work actually needs.

Inference audit

Work out where AI belongs before anything is built — the workflow, the source systems, who decides what, and what failure costs.

Agent development

Agents built into a real workflow: retrieving approved evidence, acting inside permissions, stopping where a person must decide.

AI infrastructure

Design, sourcing, deployment and integration of the compute AI runs on — from a single office node to racked and air-gapped on-premise systems — sized by the documents, users and response times involved.

Inference architecture

One operating model for every place your AI runs: air-gapped and on-premise at the base, sovereign cloud where local hardware isn't warranted, approved cloud only where you allow it, with policy controls on every route.

See what each one involves →

How it works

From first workflow to production, in four steps.

Every engagement follows the same four steps, whatever the workflow. Each one ends in something you keep — a map, a measured number, a system in production, a record your reviewers can read.

Map · Inference Audit

One workflow, mapped end to end, and a straight answer: where AI belongs, and where it doesn't. The map is yours either way.

Prove · Governed Pilot

Four to six weeks. A working agent in the real workflow, measured against a baseline agreed up front. At the end, a number — and the keep-or-stop call made on it.

Place · Private Deployment

The proven agent moves to production — on-premise, the airon appliance, or approved cloud where you allow it, decided by what its records require. It runs alongside the AI you already use.

Run · Managed Operations

After go-live we keep watch on quality, cost and model behaviour as the work changes. The audit record stays current, ready for your clients to inspect. When the numbers support it, the next workflow gets mapped.

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What a pilot leaves behind

Every answer includes its evidence and its approval.

Gauge drafts an estimate. Marshal runs a safety response. The pattern is the same in both: the agent works from your documents, flags what it is not sure of, and stops where a person must approve. Source and approval are stored with every answer, so the person accountable can check it.

Gauge · Estimating

From tender pack to evidence-backed draft.

Scope, delivered-job history, live rates and material assumptions remain visible through review and sign-off.

See the full Gauge workflow →

Marshal · Safety response

From field signal to governed response.

Procedures, conditions, decisions and corrective actions form one accountable record.

See the full Marshal workflow →

Who you're dealing with

Airon Systems is in Perth. We turn up in person, and the people you meet are the people who build the work.

ABN 30 701 151 215 · enquiries@aironsystems.com

Start with the work

Run an Inference Audit.

We map one workflow — where its records live, who makes the calls, what a wrong answer costs. Then we pick the narrowest piece worth proving and set the terms: where it runs, how it's measured, and the keep-or-stop gate at the end.

Request an inference audit →See the full engagement