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Personal Recommendations through Deep Learning

Personal Recommendations through Deep Learning

Crossing Minds is democratizing access to recent gains in artificial intelligence research by building the world's best content recommendation platform. As a team of researchers with backgrounds at top institutions, they have developed a set of content recommendation engine that perform 20% better than the existing state of the art and is the first application of group recommendation technology (recommending bundles of content to multiple people simultaneously) in a live consumer product. As consumers engage with a personalized, prescriptive content browsing experience on their iOS app, Hai, Crossing Minds leverages their behavioral data and expressed preferences to power the industry's most advanced content recommendation API for B2B interests.

Crossing Minds has:
A founding team of two AI PhD candidates and Sebastian Thrun, Stanford professor and founder of Udacity
The industry's best content recommendation algorithm applied to a dataset ranging media types
Co founder - CEO @Crossing Minds Researcher Scholar @Stanford University
Founder @Udacity. Advisor to @Getaround.
Valuation

$20M

Funded over

1 round

Latest round

Seed (Sep 2017)

Machine Learning Engineer

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Senior Web Front-End Developer

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Senior Backend Engineer

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Deep Learning Research Engineer

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Senior iOS Developer

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Marketing Intern

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