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about us

Opturion's technology disrupts the optimisation market and revolutionises decision-making in transport, logistics, engineering, manufacturing, and workforce management. With unique next-generation optimisation technology that utilises artificial intelligence, we make it possible to ensure compliance, reduce cost and improve customer service and productivity.

Our optimisation technology results from the G12 research program from CSIRO and Monash University. We have developed G12 into a commercial optimisation platform with industry variants, components libraries, and case studies that make application easy, cost-effective and reliable.

Since its inception, Opturion has collaborated with Monash and other universities and developed complementary analytics, machine learning, and modelling technology. As a result, Opturion offers the full capability to analyse, optimise, and automate a wide range of strategic, tactical, and operational decisions.

"A key differentiator of Opturion's technology is its ability to respond, almost immediately, to changing circumstances providing customers with minute-by-minute decision support and automation."

- Alan Dormer, Group Managing Director



Many organisations admit to drowning in data without knowing their true potential in productivity or capacity. Key performance indicators are commonly used, such as equipment utilisation or person-hours required to produce a product unit. But they suffer from two serious disadvantages; they are impacted by external factors, such as changing demand, and they don't tell you how to improve or whether further improvement is possible.

Opturion uses analytics, such as machine learning and advanced mathematics, to create a validated, accurate, digital twin or mathematical model. This model can critically analyse historical performance to show how different decisions and operating models could have resulted in better compliance, better customer service or lower-cost operation.



Optimisation is the art (or science) of finding the lowest cost solution to decision-making where a set of rules apply to the outcomes. These rules can be statutory regulations or business rules (compliance), or contractual (customer service) in a commercial or operational setting. Optimisation can apply at all levels of a business.

  • Strategic optimisation works at the highest level, with significant decisions that apply over extended time frames and that we cannot reverse easily. This includes the acquisition or disposal of assets and entering into a contract​

  • Next, we have tactical optimisation that applies to the medium time frame and is more about effective and efficient use of resources

  • Finally, there is operational optimisation. This can be very short term, ensuring that the organisation responds to change in the best way possible.

Optimisation is most effective where we have choice, complexity and change.

  • No choice means no decision

  • Without complexity, decisions are straightforward

  • Without change, there is plenty of time to work out the best decision and then stay with it


Luckily for Opturion, choice, complexity, and change are ubiquitous and everlasting in almost every sector.

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In many sectors, optimisation takes the form of decision support. The final implementation of the results is moderated and enacted by a planner, dispatcher or allocator. There are many good reasons for this; unforeseen situations can occur, and not every data input may be available or reliable. There are, however, industries where the results of optimisation are implemented without human intervention. Examples include control systems for aircraft and the control of chemical processes where the human is elevated to the supervisor's role and relies on the control and optimisation systems for most of the time. Opturion has developed technology and use cases for road and rail transport planning and operations automation. We see this as the next frontier, particularly with driverless trains and trucks, where we can eliminate or minimise the human disadvantages of cost and inconsistency.

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