We deliver solutions to companies and authorities to make better and more rational decisions, simulate possible scenarios, and enable advanced automation. Our clients should both make money and save money through identifying where more information is needed, how probable different scenarios are or what the possible outcome of different options may be. 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 fourteen years 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.