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REELY Is Industry Leader In Automating Sports Highlights
[October 10, 2017]

REELY Is Industry Leader In Automating Sports Highlights

SANTA MONICA, Calif., Oct. 10, 2017 /PRNewswire/ -- TechCrunch Disrupt San Francisco featured REELY as the leading computer vision and deep learning sports technology company. CEO Cullen Gallagher's interview from the AI and Machine Learning pavilion focused on how this cloud-based computer vision platform creates solutions from little leagues to the major leagues. (PRNewsfoto/Reely)

REELY's system has productized artificial intelligence by "learning" broadcast commonalities across a wide array of sports.  Generating automated highlights in real-time allows teams and leagues to simply distribute their content across all media platforms with the touch of a button.

The cloud-based SaaS platform works on multiple video streams and gives one person the power of an entire editing department. For the world's largest leagues, the platform maxmizes workflow efficiency.  At collegiate, club and high school levels, REELY unlocks never before seen video capabilities by negating the need for costly hardware and complex interfaces associated with typical high quality productions.

REELY's latest demo video highlights advanced data layers such as: audio excitement and sentiment analysis, trajectory mapping, player tracking and goal post detection. Each of these integrations enhances the quality of the platform's video outputs. The company has currently deployed this technology to benefit customers in football, soccer, hockey, rugby, and basketball.

REELY debuted with Major League Lacrosse (MLL) to distribute game highlights for the 2017 season. 6,200 real-time highlights were generated, amassing over 700k unique impressions across MLL media platforms. MLL Content Market Specialist Dan Ventresca declared, "REELY is the next essential piece to the sports pr/marketing toolbox."

From the major leagues to the little leagues, REELY's mission is to transform the sports industry by using AI and machine learning to automate content generation. Using advanced computer vision and deep learning systems, the company's proprietary SaaS platform automatically clips, tags and distributes sports highlights in real time. This technology enables content owners to enhance fan engagement and monetize content more efficiently.


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