AI infrastructure studio · Adelaide

Agentic AI, engineered for production.

We design, build and run the systems behind autonomous AI: multi-agent architectures, the infrastructure they live on, and the defences that keep bad bots out.

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Orchestration/Memory/Tool use/Guardrails/Human checkpoints/Evals/Observability/Bot defence/ ////////

The gap

Most AI stops at the chat box. We build what happens after: agents that plan, call real tools, recover when something fails and keep running around the clock, on infrastructure you control.

Capabilities

Six layers. One system that holds.

01multi-agent

Agentic architectures

Planners, specialists and critics that split the work, call tools and check each other, with a human approval step wherever the stakes are real.

human checkpoint

02runtime

AI infrastructure

Model routing and fallbacks, caching, cost limits and queues, so the system still answers when a provider has a bad day.

03defence

Bot protection

Rate limits, fingerprinting, challenges and abuse detection that stop automated traffic before it costs you.

blocked allowed

04cloud

Cloud services

Containers, private networks, tunnels and zero-trust access on Google Cloud, AWS and Cloudflare. Deployed, backed up and watched.

05workflows

Automation & integrations

Agents wired into the tools you already use: email, CRMs, payments, documents and internal systems.

06evals

Observability & evals

Every run traced. Watchdogs that alert a person. A test set run before every change, so quality is measured, not guessed.

Approach

From whiteboard to always-on.

  1. 01

    Discover

    We map the work the system should take over, the data it may touch and where a person must stay in charge.

  2. 02

    Architect

    Agents, tools, memory and guardrails, designed on paper first, with a test set that defines “good”.

  3. 03

    Build

    Shipped in small working slices you can try each week, measured against the test set every time.

  4. 04

    Operate

    We host, monitor and improve it. Alerts reach a human, and changes are tested before they go live.

Principles

Built to be trusted.

i

Your data stays yours.

Dedicated infrastructure, named locations, and nothing used to train anyone else's model.

ii

People approve what matters.

Agents do the legwork. Anything costly, public or irreversible waits for a human yes.

iii

Measured before shipped.

Every change runs against your own test set first. If quality drops, it doesn't go live.

Stack

The right model for each job.

Contact

Have work that should run itself?

Tell us what it is. We'll come back with how we'd build it, what it would take, and where a person should stay in the loop.

[email protected]