Analyse relevant data to provide insight into the behaviour of customers.

These models make use of recent developments in the machine learning and data collection fields to provide accurate estimates of current or future behaviour. This would allow us to predict the demand for a specific product or service, identify a potential target market, evaluate a promotional campaign, etc.

Develop models based on recent advances in behavioural economics.

We encourage clients or employees to make optimal decisions that are in the interest of the company. Data for these models may be collected from surveys, psychometric tests, sensors, or other behavioural devices. Such tools may be used to personalise workflows or product offerings, provide individual employees with the most appropriate incentives, or promote general workplace efficiencies.

Extensive modeling experience allows us to develop bespoke models.

Such models are used to solve company specific problems or to provide a competitive advantage in a particular industry. These services have included the development of models that provide insight into the employability of an individual, the current state of economic activity in a country, etc.

Training courses that allow our clients to make the best use of their data.

The courses seek to develop data science capacity within organisations. These courses cover aspects such as: an introduction to data science, general strategy and team development, programming essentials, data visualisation tools, and machine learning techniques.


Rulof Burger, DPhil

Rulof has extensive experience in the use of mathematical and statistical modelling techniques that are used to understand human behaviour. He has a part-time associate professor position at the University of Stellenbosch, where he has presented graduate courses in econometrics, behavioural economics, game theory and labour economics. He completed his doctoral studies at the University of Oxford, and master’s degrees at the University of Cambridge and the University of Stellenbosch.

Neil Rankin, DPhil

Neil has provided data-driven insights to a number of organisations over the last fifteen years. He has interests in a wide variety of modelling frameworks and is focused on making the most effective use of data within an organisation. He completed his graduate studies at the University of Cape Town, Simon Fraser University and the University of Oxford. He has also completed projects for various government departments, non-profit organisations and a diverse array of companies.

Richard Barry, MSc

Richard is engaged with the development of customer centric solutions and the use of the Internet of Things to capture data that can be used for further analysis. He has a computer science and electrical engineering background; and completed his graduate studies at the University of Stellenbosch. He is also responsible for client relationships and new business developments.

Kevin Kotze, PhD

Kevin is primarily interested in modelling the behaviour of variables that evolve over time. He has also developed several predictive models that are used by organisations for forecasting purposes. He completed his graduate studies at the University of Stellenbosch and has over twenty years of corporate and academic experience.

Cobus Burger, PhD

Cobus has extensive knowledge relating to the use of probabilistic models and has spent a significant amount of time applying econometric techniques to survey data. He has also presented graduate econometric courses at the University of Cape Town and the University of the Western Cape. He completed his graduate training at the University of Stellenbosch and the University of Oxford.

Hendrik van Broekhuizen, PhD

Hendrik has a particular interest in data management, computer programming, and data science applications.  He completed his graduate studies at the University of Stellenbosch, where his research focussed on the linkages between education, skills development, and labour market outcomes.  He has presented econometric courses at the University of Cape Town and has developed several data management and analysis courses that he has presented at several organisations.


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Richard Barry