Cornflower Project aims to solve the algorithmic problems that arise in the context of optimization driven decision support systems. Our main goal is to develop techniques that allow inexperienced users to exploit optimization power efficiently. We integrate and hybridize ideas developed in different communities in order to provide easily accessible high performance optimization technology. Particularly, we focus on the development of high-level constraints that allow users to model the problems as conjunctions of intuitive substructures and provide hybrid methods for their efficient combination. Moreover, we develop automization techniques for the handling of symmetries that can the cause of severe inefficiencies when handled poorly. Read more about Cornflower in our proposal.