SAN FRANCISCO, CA--(Marketwire - Nov 16, 2011) - DataSift Inc., the real-time social media data-filtering platform, today announced its official launch in the U.S. The most robust solution available, DataSift filters social media in real-time to help users unlock the power of data for brand monitoring and other applications. The DataSift platform sorts user conversations from sources like Twitter to find granular and relevant insight from the hundreds of millions of social media posts per day. The unique platform is able to filter social media data for demographic information, online influence and sentiment -- positive or negative. Founded in 2008 in the U.K. by Nick Halstead, creator of TweetMeme, DataSift has opened its headquarters in San Francisco.

"Social media has amplified the already fast-paced nature of business today. Companies don't have the luxury to sift through hundreds of millions of data streams every day, only to second guess the appropriate action," said DataSift founder, Nick Halstead. "What they need is definitive access to real-time intelligence that is impactful to their business -- allowing them to easily and quickly detect and respond to major trending events, social behaviors, customer preferences -- and ultimately, avert any impending crises. We have been amazed with the demand for our platform in the U.S. and are opening an office to cater to this demand."

DataSift is one of only two companies in the world with a license to make Twitter data commercially available for non-display purposes, allowing users to search for posts using metadata contained in tweets. DataSift does not limit searches based on keywords and allows companies of any size to define extremely complex filters, including location, gender, sentiment, language, and even influence based on Klout score, to provide quick and very specific insight and analysis. DataSift's technology can also apply the data filtering process to any content that is represented as a link within the post itself, providing companies with an accurate, holistic picture.

"DataSift's expansion shows the market for insights into Twitter's real-time data is growing and producing thriving businesses," said Ryan Sarver, Director of Platform at Twitter. "Now, more developers than ever can meet increasing market demands by filtering 250 million tweets a day into instantly actionable information."

A wide variety of business sectors in the U.S. have expressed interest in the DataSift platform, including social media monitoring companies, brand managers and agencies, academics and retail chains. However the potential applications for DataSift are virtually limitless, including in marketing, advertising and customer service, among many others. DataSift features a cloud-based pricing model with pay-as-you-go or subscription options, fit for companies or individuals of any size. For more information, visit

About DataSift
DataSift Inc. is a powerful real-time social media data-filtering platform. One of only two companies in the world with a license to make Twitter data commercially available for non-display purposes, DataSift provides brands and companies with granular insight into how they are perceived on the social web. DataSift's technology allows users to capture insight that fits user-defined criteria -- including gender, location, sentiment and social media influence, plus any content that is represented as a link within a post -- offering a holistic picture. DataSift is a self-service platform with a flexible pricing scale that makes enterprise-level data accessible to companies of any size. DataSift has offices in San Francisco and Reading, UK. It has received investment from Roger Ehrenberg from IA Ventures, a fund that is focused exclusively on Big Data, and Mark Suster from GRP Partners. For more information, please visit

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Katherine Madariaga
Atomic PR