Intelligent infrastructure for autonomous machines

Different robots. One intelligent system.

We don't build robots. We build the connectivity, shared intelligence and orchestration infrastructure that enables heterogeneous machines to work together.

Partner with us About Autexis

One foundation. Six interoperable building blocks.

01 / Connect

Machine Connectivity

Connect diverse robots, sensors and intelligent devices through unified interfaces.

02 / Edge

Edge Computing

Local message processing, resilient operation and low-latency data handling.

03 / Integrate

Machine Middleware

Protocol translation and interoperability across heterogeneous equipment.

04 / Model · R&D

Digital Twin Engine

A shared, continuously updated operational world model for machines.

05 / Orchestrate · R&D

Multi-Agent Orchestration

Task handoffs, resource coordination and conflict-aware fleet scheduling.

06 / Control · R&D

Supervisory AI Agent

Translate business objectives into coordinated machine workflows.

From device connectivity to collective autonomy.

Layer 01

Connectivity & Edge Foundation

Wireless access, gateways, ROS 2 / MQTT integration and local resilience.

Layer 02

Shared World Model

Synchronised context for space, machines, resources and task state.

Layer 03

Multi-Agent Collaboration

Capability discovery, shared task allocation and dynamic coordination.

Layer 04

Supervisory AI Agent

Business goals → task decomposition → execution monitoring → replanning. Our four-layer architecture keeps safety-critical local control separate from higher-level planning; capabilities are at different stages of development.

Built for the complexity of the physical world.

Autonomous Farms

Connect drones, field robots, remote assets and sensors for coordinated inspection, intervention and replenishment.

Robotic Kitchens

Coordinate cooking robots, distribute orders, monitor equipment status and manage multi-site operations.

Connected Care

Bring together ambient sensing, service robots and care workflows with privacy-conscious edge processing.

Research & innovation

The next leap in automation is not another robot. It's robots working together.

Our proposed university research collaboration focuses on intelligent connectivity infrastructure for autonomous machines, including wireless access, edge computing, machine middleware and fleet management across agricultural, commercial kitchen and aged-care environments. Shared world models and multi-agent orchestration form part of our broader technology roadmap.

01Research focus: resilient machine connectivity and cross-vendor interoperability.
02Validation approach: phased prototypes, field testing and measurable performance benchmarks.
03Safety by design: retain safety-critical control on the machine and at the local edge.

Built on real-world engineering experience.

Led by founder Xia Qun, the Autexis team draws on engineering experience dating back to 2011 in intelligent buildings, public-sector precincts, network deployment, systems integration and long-term operations.

Today, we are translating that field experience into reusable connectivity, edge and robotics software infrastructure.

Hardware agnostic. Software focused. Real-world ready. Open integration with machine manufacturers, research institutions and enterprise operators.

A phased path from integration to autonomy.

Phase 01 / StandardiseDevice interfaces, edge middleware, capability models and initial digital twin foundations.

Phase 02 / ValidateField validation of robot task handoffs, resource coordination and failure recovery in agriculture.

Phase 03 / ScaleProductise supervisory agents and extend repeatable deployments to kitchens and connected care.

Let's make machines work together.

We welcome conversations with robotics manufacturers, industry operators, research partners and technology investors. Tell us what you are building and where coordination breaks down.

Start a conversation

Contact us

Emailxiaqun@xqtech.com.au