Machine learning startup Context Relevant raises $21M in series B funding

Context Relevant, a Seattle-based startup that promises to create accurate predictive models in a hurry, even across large datasets, has raised a $21 million series B round of venture capital. Formation 8 led the round, which also included existing investors Madrona Venture Group, Bloomberg Beta and Vulcan Capital, and several angels and strategic investors. Context Relevant’s technology includes specialized algorithms for functions such as fraud detection and behavioral analysis, then automatically analyzes data against them and generates models that can added to applications without recoding.

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