Our interdisciplinary team helps you define the problem correctly and find the right data to solve it. ​​​
​
​Get the Data: (40%) 
​We source data everywhere: ​​Internal data. Data that 3rd parties are already collecting about you. ​There is public government ​data. And new data sources s.a. satellite photos​, drone footage, IoT sensors become available every day.
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20-25% Quality improvement: through our cleaning, de-biasing, filtering and data-selection processes.

​​​Explore & Model the Data: (10%)
​​Our expert PhD's explore the data for potential patterns or aberrations. They create the models, visualizations and prototypes. ​

​Demonstrating Business Value (50%):
​Operationalizing the output of the model: ​
​​Can anyone audit the models during their use? Can they tune the output to operational needs? Can a fleet manager or a maintenance technician actually do something with that information?

​Data products: ​algorithms and machine learning models that generate new value in an automated way. ​

​How we work
​Our team is empathetic, social and communicative. We are aware of your business needs, cost accounting structures and internal dynamics.

Local support and project management. Global research team. 

Our interdisciplinary approach makes us unique. Looking at a problem from different perspectives reduces large mistakes.