Sometimes, business applications perform constraint-logic search, e. g., for finding solutions to planning problems. Most business applications are written in object-oriented programming languages that are not particularly suited for search applications. In contrast, logic and constraint-logic programming languages offer useful features for search. However, such programming languages are less suited for the development of arbitrary (business) software. Consequently, there currently is a gap that established programming languages can only bridge by using impractical solutions. Intending to improve this situation, this work describes the multi-paradigm programming language Muli (short for the Münster Logic-Imperative Language). Muli is based on Java, adding support for constraint-logic features. Most notably, Muli offers logic variables, symbolic execution, and encapsulated search. It is accompanied by a compiler and a sophisticated runtime environment. So far, Muli has been successfully applied to several domains, namely to logistics, the development of neural networks, and classical search problems.