Palo Alto, CA – October 23, 2013 – Trapit, Inc., a leading provider of content curation solutions, today announced that its powerful and intuitive Content Curation Center is helping social TV app, zeebox, deliver its users a more personalized, interactive social TV engagement experience.
zeebox provides users with a 24/7 personalized newsfeed of the TV shows of their choice, bringing TV engagement to the next level. zeebox lets users discover, connect, share and interact in a way they never have before. Even if a show is not currently airing, zeebox’s news and content feeds, powered by Trapit, enable users to engage with and stay up-to-date on the latest happenings of their favorite shows and celebrities.
Trapit’s Content Curation Center empowers companies that want to use content to engage more directly with their key audiences. With its own library of more than 100,000 carefully vetted public Internet sources, Trapit allows brands to discover the most unique, relevant content and deliver it with ease to their customers.
“The future of TV is social engagement. TV fans want to interact with their favorite shows before, during and after the show,” said Anthony Rose, zeebox co-founder and CTO. “Our recently added news feeds, powered by Trapit, extend zeebox’s content discovery and second screen experience to now give our users an always-on, personalized newsfeed just for them, around the TV shows they love and follow on zeebox.”
“Audiences of all kinds, including TV watchers, are seeking personalized, relevant content at a rate that is difficult for businesses to match,” said Gary Griffiths, Trapit’s CEO and co-founder. “Our Content Curation Center meets the demands of organizations looking to fulfill their users’ needs for timely, unique content, all in an efficient and cost-effective manner.”
Trapit’s Content Curation Center is derived from advanced Artificial Intelligence and Machine Learning technology developed for the Defense Advanced Research Projects Agency (DARPA) by SRI, the same project from which Apple’s Siri was derived.
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