Don Computing delivers industrial automation services in Brisbane and across Australia for manufacturers, warehouses, food processors, engineering businesses and technology operators. We help organisations automate repetitive work, improve production visibility and reduce operational risk.
Applications
Industrial systems
Our engineers assess existing operations and develop practical automation roadmaps aligned with safety, productivity, quality and investment priorities.
- Robotic work-cell and production-line concepts
- PLC, sensor, machine-vision and control-system integration
- Automated material handling and warehouse workflows
- Process monitoring, data acquisition and performance dashboards
- Simulation-led equipment selection and layout improvement
- Integration planning for cobots, autonomous mobile robots and industrial robots
Industries
We support manufacturing, food and beverage, logistics, resources, energy, healthcare, defence-support operations and advanced technology businesses. Solutions are designed around the real operating environment, workforce requirements and applicable Australian safety obligations.
AI automation for engineering and operations
AI work starts with a defined task and usable evidence. Potential applications include assisting visual inspection, flagging unusual process data, extracting information from engineering documents and automating repetitive analysis or reporting. We assess data quality, existing workflows and the cost of mistakes before selecting a method.
A scoped prototype can compare automated outputs against a labelled reference set and an agreed baseline. Human review, exception handling, system access and deployment monitoring are part of the design. A successful demonstration is assessed separately from readiness for production use.
Process
Don Computing can assist with requirements definition, process mapping, concept engineering, simulation, supplier evaluation, risk review, commissioning support and workforce training. Our combined robotics, CFD, process-engineering and digital-twin capability helps clients evaluate an automation project before committing major capital.
Required inputs
- A description of the task, bottleneck and current manual workflow.
- Cycle times, volumes, product variation and available floor-space or layout drawings.
- Existing machine, sensor, PLC and software interfaces.
- For AI studies, representative images or records that you are authorised to share.
- Target outcomes, budget range, timing and safety or operating constraints.
Deliverables
The agreed scope may include a process map, requirements register, options assessment, concept layout, integration plan, prototype or demonstration evaluation, and a staged implementation proposal. Equipment procurement, installation, commissioning, training and support responsibilities are confirmed in the proposal rather than assumed to be included.
FAQs
Can existing equipment be retained?
Possibly. We review available interfaces, machine condition and operating constraints before recommending retrofit, integration or replacement options.
Can you guarantee savings before assessing the process?
No fixed saving is assumed. A feasibility assessment can establish a baseline and compare expected benefits, costs and risks using your operating data.
What is the difference between a prototype and a production system?
A prototype tests a defined concept. Production use additionally requires appropriate reliability, safety assessment, integration, user training and ongoing maintenance arrangements.
How long will the project take?
Timing depends on the number of interfaces, site access, data readiness, equipment availability and the agreed implementation stages. Milestones are set after the initial review.
