About us

Preference develops methods for structuring complex, ill-structured problems in a format that is intuitive and easy to understand, transparent as well as easy to change.

This format takes into account both qualitative inputs based on experiences, opinions, and hypotheses along with quantitative data  in both small and large amounts.

Our patented algorithms based on multi-year research work to provide recommendations on the best possible decision-making options by using inputs organized in the format above.

Several of our employees have a doctorate in Computer Science and Mathematics, as well as long experience from leading major projects and advice in risk and decision analysis for large companies.