This paper presents a tool namely Mobipaleo to automatically extract simultaneous attribute co-variations called gradual patterns from multivariate temporal data. It proposes two types of temporal resolution to integrate in the search process according to user preferences: the high temporal resolution taken into account referenced as the temporal constraint between consecutive objects and the low temporal resolution referenced as the temporal constraint between distant objects. Mobipaleo highlights the benefits of using artificial intelligence techniques such as pattern mining in real-world applications.