Increasing lead conversion

We developed a model that predicts which customers of a travel agency will actually book a trip.


City rhythm Research

We worked together with TU Delft and Wageningen University on the 'City Rhythm' project. This project aims to address one of the most complex, yet fundamental aspects of human well-being in the modern world: a citizen's sense of security in his or her direct neighbourhood.


Smart windturbine allocation

Regulations, protests, soil type, and other factors influence whether wind farm projects succeed or not. We use data and Machine Learning to determine where the odds of success are highest.


Minimizing fuel consumption

The shipping industry is notorious for their excessive fuel emissions. Using data collected during the journey our models find the eco friendly speed in order to save money and lower carbon emissions.