Axio Technologies
AI Product Engineering — AI Consultancy

AI that operates
Not just experiments

We work with founders & companies building AI products, and with Enterprises putting AI to work inside the buisiness.

Melbourne-based AI product engineering and consultancy firm.
We design, build and deploy production-grade AI systems — from first prototype to full-scale operation.

The experience behind AXIO
{{ stat0 }}Median years experience
{{ stat1 }}Incremental revenue driven
{{ stat2 }}Average client ROI
{{ stat3 }}Countries across APAC & Scandinavia
Services Model

Two gaps in the market
AXIO built for both

The market splits cleanly into two problems. We built a distinct engagement model for each — so you get a partner shaped around your actual gap, not a one-size pitch.

01
The Build Gap AI Product Engineering
For organizations that build and sell technology

You have a viable AI product or real client demand, but the AI work keeps stalling short of production. Prototypes demo well and then don't survive real data, real load, or real users. You need engineers who have shipped AI systems that operate, not a team learning on your project

02
The Adoption Gap AI Consultancy
For enterprises that use technology in their operations

You have operational data and systems that run the business, but nothing that turns that data into decisions. Vendors pitch solutions that assume a data team you don't have. You need a clear view of where AI actually creates margin, and a partner who can build it

Our AI services

Three ways to work with us

Every engagement runs in phases with fixed scope and a fixed price at each gate. Each phase produces something you can hold — you decide whether to continue at every step.

AI Product Engineering Founder-to-Fundable "We build the deep-tech AI product that gets you funded." For founders with a hard technical idea and no AI team

We scope, architect and build a working AI system you can put in front of investors and first customers — deployed in your environment, not a demo reel.

A typical engagement
Scoping sprint2 weeks
Architecture, build plan, fixed quote.
Build8–12 weeks
Working system, deployed and documented.
Raise supportOptional
Technical diligence and iteration.
AI Product Engineering Build Partner Program "Your AI engineering team, under your brand." For consultancies and systems integrators with client demand

We embed into your delivery, architect and ship the AI layer under your brand, then hand back clean code and a team that can run it.

A typical engagement
Technical discovery2 weeks
Solution design and delivery estimate.
Production build10–16 weeks
Shipped system in your delivery environment.
Handover2–4 weeks
Documented code, runbook, team enablement.
AI Consultancy AI Enablement "We turn your operational data into an Intelligence layer." For enterprises embedding AI into their operational workflows

We find where AI creates value, prove it on one operational workflow using the data you already have, then embed and scale what works.

A typical engagement
AI strategy and roadmap3 weeks
Ranked use cases with a costed first slice.
Proof of value6–8 weeks
One workflow live, measured on commercial outcome.
Embed and scaleOngoing
Rollout, monitoring, support retainer.
What we build

AI capabilities across the full stack

From computer vision and generative AI to data pipelines and full-stack deployment — we cover the complete engineering surface required to ship production AI systems.

CV
Computer VisionMulti-camera tracking and sensor fusion. Object detection and classification. OCR and document capture. Industrial defect inspection and visual quality assurance.
GA
Generative AIRAG pipelines and retrieval-augmented generation. Fine-tuned domain LLMs. Agent workflows and orchestration. Document intelligence, triage and structured summarisation.
ML
ML & OptimisationForecasting, scheduling, inventory and predictive models. Operational-research-led optimisation for supply chain, logistics and resource allocation.
DE
Data EngineeringPipeline design and orchestration. ETL, integration and transformation. Data-quality profiling and governance. Cloud, edge and real-time streaming architectures.
UX
UX Strategy & DesignAI product and interaction design. Operational dashboards and control cockpits. User research and usability testing. Design systems for complex data environments.
FS
Full-Stack DevelopmentBackend APIs in Python and Node.js. Frontend applications in React and Next.js. Cloud infrastructure and DevOps on AWS and GCP. CI/CD pipelines and system integration.
Case studies & projects

Production AI systems we've built

From computer vision to generative AI — these are production AI systems designed, built and deployed by our team.

Multi-Camera Sports Intelligence PlatformA production computer vision system built for elite AFL environments. Multi-camera player tracking, automated jersey recognition, and predictive team analytics — delivering tactical insights beyond GPS wearables.
Site Vision — Construction AI SafetyComputer vision for construction sites: real-time PPE compliance detection, automated progress monitoring, and safety analytics from standard CCTV camera feeds. No specialist hardware required.
Operations Cockpit for SME OperatorsA unified operational dashboard that connects fragmented data sources into a single view. Lead funnel tracking, conversion analytics, and KPI monitoring — built for operators and business owners, not data teams.
Document Intelligence & AI TriageAutomated document ingestion, classification and structured data extraction using large language models. Surfaces key risks, generates advisor-ready reports, and integrates into existing review workflows.
Industries we serve

Applied AI for the industries that
build, make and maintain

We specialise in operationally heavy industries where AI needs to work reliably in complex, real-world environments — not just in a dashboard.

AI for Transport & LogisticsKeep the fleet moving
Route Optimisationpredictive fleet maintainenceAnomaly detectionscheduling intelligence
AI for Retail OperationsEvery shelf and dollar, a decision
Space & Assortment optimisationdemand forecastingPricing Intelligenceinventory control
AI for Sports AnalyticsEvery move matters
Multi-Camera player trackingTactical Analysisopposition scoutingperformance prediction
AI for manufacturingFrom firefighting to foresight
Predictive maintenanceinventory optimisationdemand forecastingquality inspection
AI for ConstructionVisibility when it's buried in paperwork.
Document intelligencesite safety monitoringcost forecastingautomated progress tracking
AI for Professional ServicesAutomate the busywork
document intelligenceAI triagereport generationworkflow automation
Our AI delivery process
Validate Engineer Embed Evolve

A structured delivery methodology built for AI projects that need to work in production, not just in a demo. Every phase produces a tangible output.

Our team

A team built for the complex work

A deliberate mix of PhD researchers, senior engineers, optimisation specialists, strategy advisors, and product designers — built to deliver AI that works in production, not just in a pitch.

The Axio team

PhD-led AI & research

PhD researchers in AI and data science who've shipped production systems across manufacturing, rail, and enterprise environments — bringing research-grade rigour to problems where AI has to actually work.

AIData ScienceComputer Vision

Enterprise optimisation

Analytics and operational research specialists who've run multi-site operations across retail, aviation, apparel, and heavy industry — so AI solutions are shaped around margin, demand, and real commercial decisions.

StrategyOperationsAnalytics

Senior AI engineering

Senior engineers who build production systems end-to-end — backends, frontends, cloud, and CI/CD — so models reach deployment as reliable software, not stranded prototypes.

Full-stackCloudDevOps

Product & design

Product designers specialising in operational and AI-driven interfaces — dashboards, control cockpits, and workflow tools that the people on the floor actually adopt and use.

Product DesignUX Research

Strategy & advisory

PhD and MBA-qualified strategy leadership who've led innovation and commercialisation programs — prioritising AI investment by business value and embedding risk and governance from day one.

StrategyCommercialisation

Let's build what's next

Ready to move from whiteboard to production? Talk to us about AI product engineering, AI strategy consulting, or your next production AI deployment.

Talk to a founder →

info@axiotechnologies.com.au · Melbourne, VIC, Australia