Evri Launches Semantic Content Discovery Engine In Private Beta

Jason Kincaid

Jason Kincaid worked as a writer for TechCrunch from April 2008 through 2012. He grew up in Danville, California and later relocated to UCLA in Los Angeles, California, where he studied biology with a minor in ‘Society and Genetics’. You can reach him at jkincaid@gmail.com → Learn More

Tuesday, June 24th, 2008

Evri, the site that uses semantic connections between terms to help users discover related information, has launched in private beta. You can register for an invite here.

Evri founder Neil Roseman (former VP of Technology at Amazon) is quick to explain that it is not a search engine. Rather, it helps users find related information by analyzing text to determine relationships between related terms. For example, a search for Barack Obama would likely yield a visual graph linking him to the Democratic Party, his wife, and other senators, along with a succinct summary of his background. Unlike the human-powered search engine Mahalo, Evri is powered by an algorithm.

The site made its debut appearance at last month’s D6 conference, which you can watch below:

http://services.brightcove.com/services/viewer/federated_f8/452319854

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