Ten Startups Join Seattle Machine Learning and Data Science Accelerator

The following is blog post by Hanan Lavy, Director, Microsoft Accelerator in Seattle.

Sept. 14 — Our Seattle Accelerator’s third batch taught us a thing or two about the machine learning and data science space. Now, as we kick-off our fourth batch, we’re excited to put those learnings and insights to use to help the next generation of machine learning and data science startups.

Over the past four months, we’ve traveled North America, talked to more than a dozen VCs and investors, sifted through hundreds of applications, and consulted our mentors and startup alumni in search of high-caliber, mature startups that are ready to scale up their businesses through enterprise customer access. As a result of these efforts, we’ve selected 10 later-stage startups to join our Machine Learning Accelerator in Seattle.

Collectively, the chosen startups have received $5.3M in average funding with $3M average annual recurring revenue. Spanning several verticals, including—but not limited to—manufacturing, healthcare, career recruitment, and social media, the companies leverage the power of data science, machine learning, analytics, and enterprise IoT to deliver their respective solutions.

To help these startups scale their businesses, we’re partnering with the Azure Machine Learning team and Microsoft Sales teams to provide a comprehensive set of offerings, including mentorship, access to technology, customer introductions and more. Time and again our startup alumni tell us the unprecedented individualized coaching they receive via our partner network has been critical to their success.

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Source: Microsoft Accelerator