MindTitan’s anti-money laundering AI model keeps banks a step ahead. Find suspicious groups and flows of money with state-of-the-art process mining techniques and deep learning to uncover previously unidentified patterns. Our approach follows more than simple hard-coded rules, rather uses artificial intelligence to reveal activities, individuals, and groups of interest. The model creates a continuously updated suspicion score for particular individuals.
MindTitan’s fraud prevention machine learning model finds emerging patterns in suspicious data-sets about groups of people, individuals, and transactions. By understanding which of these data sources have the potential to become suspicious, and uncovering new patterns of expenditures, and directions of the flow of money, the model detects criminal activities much sooner.
MindTitan exists to help companies extract actionable business insights from their data, as well as help them understand and apply artificial intelligence to their business.
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