Reduce Your ML Deployment Times by 90%
Reduce Your ML Deployment Times by 90%


Machine learning is time consuming and expensive for businesses, and common problems such as data wrangling slow down deployment significantly. Vidora, an enterprise machine learning pipeline platform, addresses this problem head on by automating machine learning pipelines end-to-end, including data wrangling. Find out how businesses are reducing the time to deploy machine learning by 90%, and witness how non-technical team members can harness the power of machine learning for their own business.


Philip West is a founder and head of product at Vidora, a venture-backed machine learning startup based out of San Francisco, CA. Vidora provides large data driven businesses with a platform to easily build and deploy machine learning pipelines without having to worry about data wrangling or write a single line of code. Before founding Vidora, Philip was the second engineering hire at Ooyala, an online video platform. He also was a technical cofounder at one of the first online social networking startups, Affinity Circles. Philip studied Computer Science at Stanford University.

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