Process mining techniques allow analyzing the event data generated and recorded during the execution of (business) processes to gain insights. Process discovery is a key discipline in process mining that comprises the discovery of process models on the basis of the recorded event data. Most process discovery algorithms work in a fully automated fashion. However, recent work indicates that the integration of domain knowledge in (semi-)automated process discovery algorithms often enhances the quality of the process models discovered. Our process mining software solution, i.e., Cortado is a novel process discovery tool that leverages domain knowledge while incrementally discovering a process model from given event data.