New MATLAB-based toolbox [1] is designed for solving a class of probabilistic analysis and synthesis problems arising in control. It provides convenient uncertain object manipulation and implementation of randomized methods using state-of-art theoretical and algorithmic results. The two main features of the package are a functional approach with m-files templates and a definition of design problems in generic LMI format using the widely used YALMIP syntax.