Forward-deployed AI engineering — Melbourne, AU

Enterprise AI, on your own infrastructure.

We embed forward-deployed engineers inside your organisation and build AI systems that run on hardware you own and control. Open-source models. No vendor lock-in. No offshoring.

5–10×
Open-source token cost advantage
100%
On-premise capable
2 wk
Discovery Sprint duration
Services

Three paths to production

01
Entry point

Discovery Sprint

2–4 weeks · Fixed price

Map your highest-value AI use cases, assess data readiness, and get a clear build-vs-buy recommendation with ROI projections — before committing to a full build.

AI use case mapping and prioritisation
Data readiness assessment
Build vs buy recommendation
ROI projection and business case
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02
Most popular

PoC Build

6–12 weeks · Outcome-based

A forward-deployed engineer works inside your team to deliver a production-ready proof of concept — using open-source models, privacy-preserving architecture, and a clear handover plan.

Forward-deployed engineer on-site
Open-source model selection and tuning
Privacy-preserving architecture design
Documentation and capability handover
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03
Full scale

Full Transformation

6–24 months · Retainer

Embed AI across multiple business units. Stand up specialised agents from operational briefs, deploy voice-to-action systems, and operate at a fraction of hyperscaler cost with managed support.

Multi-unit AI deployment
Specialised agents from operational briefs
Voice-to-action and field systems
Ongoing managed support
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Why us

The model that actually works

$

Lower running cost

We run open-source and open-weight models on your own hardware. For most enterprise workloads they match hyperscaler output quality at a fraction of the per-token cost, with no usage-based bill that grows with adoption.

Privacy-first by design

On-premise deployment is the default, not an add-on. Your data never leaves your infrastructure. No shared model weights. No cloud logging.

»

Engineers, not slide-makers

We work inside your team, write the code, and hand over the system with its documentation and runbook. Our aim is that you do not need us afterwards.

Token cost — same workload
Anthropic Claude
$100
OpenAI GPT-4o
$90
CXO Mirror stack
$5–10
Indicative comparison of published API pricing against self-hosted open-source inference. Actual costs vary by workload, model and infrastructure.

Ready to see what AI can do inside your business?

Start with a two-week Discovery Sprint. Fixed price. No lock-in. Walk away with a clear roadmap — or a working prototype.

Email KK.Santhanam@cxomirror.com