Applied AI · Robotics · AI Agents · Software Reliability

We turn research-grade AI into working prototypes

AIXOM is a Melbourne technology company. We work with research teams and industry partners to scope, build and test AI-enabled systems — from robot perception to AI agents people use every day.

[ About ]AIXOM Pty Ltd / Melbourne

Between the lab and the market

[ Focus ]

  • Applied AI
  • Robotics
  • AI agents
  • Software reliability

AIXOM Pty Ltd is an Australian technology company based in Melbourne.

Our background is in software engineering, with a particular focus on testing and reliability, which shapes how we build AI and robotics systems.

Research

Close enough to research to use new methods

Delivery

A working system on a fixed timeline

Reliability

Measurable, documented and honest about its limits

[ Founders ]Team / 02
  • Rui Li

    Founder & CEO

    Degree
    PhD candidate
    Field
    AI for software engineering (AI4SE)
  • Owen Wang

    Co-Founder & CTO

    Degree
    PhD
    Field
    Virtual reality and requirements engineering
[ What We Do ]Capabilities / 04

Different problems, one habit

Get a real system running early, then measure honestly how well it works.

  1. Robot perception & spatial AI

    Helping mobile robots see and understand the indoor spaces they work in.

    View project
  2. AI agents & domain models

    Conversational agents and domain-specialised language models built for a real audience and a real venue.

    View projects
  3. AI testing & reliability

    Ways to test AI-based software when there is no simple “right answer” to check against — so teams can trust what they ship.

    Get in touch
  4. Co-development partnerships

    Milestone-driven projects with research teams and industry partners: clear scope, working demos, shared progress.

    How we work
[ Selected Work ]Projects / 03

Selected work

A dual-arm mobile robot in a living room scans a bookshelf and table with its head camera; the furniture appears as a glowing blue 3D point-cloud reconstruction.
Concept render · Spatial understanding for mobile robots

Robotics · 3D perception · 2026

Robotic Environment Understanding

A proof-of-concept that helps a low-cost mobile robot build a 3D understanding of indoor spaces from its onboard cameras.

With a university research partner in Victoria

AI Zhuge companion robot: a white robot with a dark visor face and glowing blue eyes, waving.

AI agent · Long-term memory

AI Zhuge

An assistant agent with persistent memory, knowledge answers and proactive goal tracking — it becomes more personalised the longer you work with it.

Key visual for the domain reasoning models: a golden dragon coiled around a glowing digital globe in space.

Language models · 32B

Domain reasoning models

Two 32-billion-parameter models specialised for Eastern cultural knowledge and for daily wellness records.

[ Work With Us ]

Who we work with

  1. For research teams

    An industry partner for applied projects: we bring the problem, the hardware and a path to real-world use.

  2. For companies

    Test an AI or robotics idea with a working prototype before committing to a full build.

[ How We Work ]Process / 05

Milestone-driven, start to finish

  1. Scope

    Agree the problem, the milestones and what success looks like.

  2. Prototype

    Get a real system running early, so ideas are tested on something that works.

  3. Measure

    Test honestly how well it works — including where it doesn’t.

  4. Demo

    Working demos and shared progress at every milestone.

  5. Hand over

    Documented results, honest about limits, with a path to real-world use.

[ Contact ]

Have a problem worth prototyping?

Send us a short description of the problem and we’ll get back to you. Research teams and companies with an idea to test are both welcome.

Location
Melbourne, Victoria, Australia

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