Science and Engineering
We are highly interested in technology - most of our staff has a background in science or engineering. In the past we have been strongly engaged with research and product development activities. We would like to continue this path and help our customers with bespoken solutions.
Over the past years many companies have decided to operate more data-driven. We are happy to advise on the implementation of data science in a business environment and to develop modern and robust data science tools.
We are happy to use state of the art machine learning techniques to develop powerful predictive tools for your business. We are experienced in typical regression and classification problems using SVM, Nearest Neighbour, Random Forest or similar techniques. We aim to develop and validate machine learning models with a neglectable error rate improving your business.