In recent decades, the volume of information stored in the databases of most organizations and companies has grown dramatically. Analyzing this information provides companies with valuable insights that aid in decision-making. However, the dispersion of this data in different formats and its large volume poses a challenge that can be addressed with data mining techniques and tools. At VRAIN of UPV, AI evaluation involves generating predictive and descriptive data mining models, cost-based evaluation of data mining models, and the adaptation/contextualization of models for their application. Among its benefits are the optimization of data mining models and the inclusion of costs in the evaluation of the models.