ThinkAxia RGB - PNG - Blue on Transparent (2015_08_06 22_06_13 UTC).png

New Zealand






 Our Purpose

ThinkAxia is a complex project consulting firm based in New Zealand which partners with universities, corporations and consultants to solve complex problems through innovative project management methods founded in complexity theory. Our purpose is to assist our clients to understand their world and we do this by delivering their complex projects, driving them towards their purpose and in doing so, change the world.

We approach projects differently than most companies.  We partner with diverse organisations and individuals around the world to deliver meaningful complex projects for our clients.  We passionately work within a set of principles.  Here are just a sample of them which we encourage you to consider in your own endeavours:

Work With The Best:  We gather the best from around the world to work on our client's projects.  They come from a range of organisations including, universities, corporations, contractors and governments.  The diverse team members are selected uniquely for each project and are only engaged for where they can offer value.  This enable us to work on complex projects for our clients that push the boundaries of what has been done before, deliver ambitious goals, and / or recover endeavours in trouble.

Work On What Matters:  We do not work on everything that comes across our desks.  Life is short and, at times, challenging so why work on anything less than complex and meaningful projects.  This principle is what enables us to draw the best people on offer together to deliver work for our clients.  It means that we are as passionate about our projects as our clients are, and it shows.

Remember That Life Is Short:  We believe that life is short and so we work at a greater pace than most.  Our clients have ambitious goals and recognising that our projects are complex and time sensitive we designed our organisation, projects and teams to be empowered, agile and responsive.  By removing internal red-tape and having near real-time communication we are able to navigate dynamic environments and deliver our projects.

Measure Twice, Cut Once:  We have partnered with the best simulation and modelling software company on the market to ensure that we can utilise AI to gain understanding of the complexity in our world.  With the insights Anylogic and Anylogistix provide, we are able to deliver complex projects that others consider too difficult to attempt.  Modelling and Simulation is the equivalent management tool of the classic carpentry saying, "measure twice, cut once".

We are excited to hear about your ambitious goals and your complex project so please, contact us today.


Our Services

Our clients represent industries that range from defence to agriculture and everything in between. They call on us when they need support in understanding the complex world they are in and assistance in delivering the projects that will enable them to execute their strategy. 

Our Services:

  • Complex Project Management

    Complex project management has evolved over time as a result of the identification and recognition of issues exhibiting complex characteristics that traditional project management methodologies have not had the capability to adequately address. Complex projects are undertakings for which traditional methods, practices and processes are inadequate in terms of scale, rate of change, heterogeneity, multiple pathways and ambiguous objectives. The complex project management function assesses and comprehends project context, criticality, collaboration, convergence and confluence at various points along the project life cycle. To enable the best possible prospect for success complex project managers require additional skills, knowledge and experiences in order to operate effectively in complex environments.

    The intrinsic complexity of projects, in part, is driven by political, social, technological and environmental issues, as well as tight fiscal pressures, end user expectations which may change dramatically during the life of a project, and governmental instability.  Advances in knowledge and capability have raced ahead of social and political change with only the most agile and adaptable organisations able to absorb the impact of this new reality. (ICCPM)


Our Clients Are Leaders In These Industries:




Oil and Gas






and more...

  • Complex Systems Design and Implementation

Complex systems design represents an alternative paradigm to our traditional design engineering approach. The paradigm of complex systems design is focused on the development of open systems that integrate diverse components through dynamic networks, with global functionality emerging from the bottom-up as elements interact, adapt, and evolve over time.1 This is in contrast to a more traditional approach, which is focused on the development of discrete, well-defined objects by breaking them down into individual components, and then coordinating these components within one top-down global design. Classical examples of these complex engineered systems are the Internet and cities, but also health care systems, electrical power grids, financial portfolios, logistics networks, and transportation networks. (Complexity Labs)

  • System of Systems Engineering

    There are many definitions of System(s) of Systems, some of which are dependent on the particularity of an application area. Maier (1998) postulated five key characteristics of SoS: Operational independence of component systems, Managerial independence of component systems, geographical distribution, emergent behavior, and evolutionary development processes. Jamshidi (2009) has reviewed more than seven potential definitions of SoS and, although there is not all are universally accepted by the community, the following has received substantial attention:

    A SoS is an integration of a finite number of constituent systems which are independent and operatable, and which are networked together for a period of time to achieve a certain higher goal.

    It should be noted that according to this definition, formation of a SoS is not necessarily a permanent phenomenon, but rather a matter of necessity for integrating and networking them in a central way for specific goal such as robustness, cost, efficiency, etc.

    DeLaurentis (2005) has added to the five SoS criteria above for SoS Engineering to include: inter-disciplinarity, heterogeneity of the systems involved, and networks of systems.

    Not all SoS will exhibit all of the characteristics, but it is generally assumed that a SoS is characterised by exhibiting a majority of the Maier Criteria. Although the individual systems in a SoS are usually considered to have independent operational viability, it is sometimes the case that the SoS must contain some systems the only purpose of which is to enable the interoperation of the other component systems; i.e. the enabling systems cannot operate outside of the SoS. (SEBoK)

  • Modelling and Simulation

    We have partnered with the world leader in simulation and modelling, Anylogic to ensure you have the tools you need to design, model and simulate your system of systems enabling you to navigate your complex world and continually improve your decision making capabilities. These tools enable you to monitor and control your organisations, projects or any systems, anywhere, anytime.
    Why use modelling and simulation?

      Simulation modelling provides a safe way to test and explore different “what-if” scenarios. Make the right decision before making real-world changes.

      Virtual experiments with simulation models are less expensive and take less time than experiments with real assets.

      Simulation models can be animated in 2D/3D, allowing concepts and ideas to be more easily verified, communicated, and understood.

      Unlike spreadsheet- or solver-based analytics, simulation modeling allows observation of system behavior over time at any level of detail. E.g., you can check warehouse storage space utilisation at any given date.

      A simulation model can capture much more details than an analytical model, which provides for increased accuracy and more precise forecast.

      Uncertainty in operations’ time and outcome can be easily represented in simulation models, which allows you to measure risk and find more robust solutions.