Modalic aims to enable organisations to derive value from vastly distributed data sources reliably and at extremely low cost by making sofar underused or unviable data sources an accessible resource through application of Federated Learning and distributed analytics.
Munich based and directly emergent from TUM, Modalic is exploring the space of distributed Machine Learning, Federated Learning and data economics. Modalic is entering this space with the urge to explore, create and a passion for technological depth while having backgrounds in Machine Learning, Data Science, Software Development and Network Theory.
Supported by the UnternehmerTUM and Venture Labs for Software/AI.
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