Venture Capital

Analytics Startup Unsupervised Raises $35M To Spot Patterns In Enterprise Data

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Unsupervised, a company developing a platform that leverages self-supervised machine learning to spot trends, raised $35 million. : Boulder, Colorado-based Unsupervised, a big data analytics company leveraging AI to find patterns in business data, today announced that it raised $35 million in a series B round led by Cathay Innovation and Signalfire. Unsupervised says that it intends to use the funding to hire additional employees as it continues to develop its platform. Most enterprises have to wrangle countless data buckets, some of which inevitably become underused or forgotten.

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