DataSift Ingests $6 Million From GRP And IA Ventures

Erick Schonfeld

Erick Schonfeld is a technology journalist and the executive producer of DEMO. He is also a partner at bMuse, a product incubator in New York City. Schonfeld is the former Editor in Chief of TechCrunch. At TechCrunch, he oversaw the editorial content of the site, helped to program the Disrupt conferences and CrunchUps, produced TCTV shows, and wrote daily... → Learn More

Monday, July 11th, 2011

We are a few years into the era of realtime data. Everyone is producing and consuming it, but there is still a huge need to filter it. For that reason, Mark Suster of GRP Partners is doubling down on Twitter by investing in DataSift, one of two companies with rights to re-syndicate Twitter’s firehose of more than 200 million Tweets a day (the other one is Gnip). GRP and IA Ventures are investing $6 million in DataSift in a Series A.

DataSift was born out of Tweetmeme and launched at TechCrunch Disrupt SF last year. It provides the full Twitter firehose in a way that can be mined, chopped up, analyzed, and mashed up with other realtime streams such as Klout, PeerIndex, Facebook, WordPress, and others.

The bet that DataSift’s investors are making is that Twitter won’t enter this data syndication market itself and take it away like it did with Twitter clients. DataSift has a long-term contract with Twitter, but that doesn’t guarantee Twitter won’t replicate any services it sees to be especially profitable. On the other hand, if DataSift makes this work, it could become an acquisition target for Twitter.

DataSift is trying to create the basis for a realtime data mining and business intelligence business. It sees opportunities for products built on top of DataSift for financial services (realtime investing signals), marketing (sentiment analysis and influence trees), healthcare (looking for early signs of pandemics and other outbreaks), political campaigns (tracking voter sentiment), television (realtime feedback and social media monitoring), and news (breaking reports). DataSift won’t build any of these products itself, but rather sell the data to others.

If you want to see a fun little app built on top of DataSift, check out DataSift Invaders a Space Invaders game that shows a Twitter avatar every time somebody tweets @DSInvader. It then shoots the avatars based o their Klout score.

Company: DataSift
Website: datasift.com
Launch Date: August 2010
Funding: $29.7M

DataSift is the leading social data platform, enabling companies to aggregate, filter and extract insights from the billions of public social conversations on Twitter, leading social networks and millions of other sources. DataSift provides access to both real-time and historical social data to uncover insights and trends that relate to brands, businesses, financial markets, news and public opinion. Delivered as a cloud platform, DataSift does the heavy lifting for companies creating social media monitoring, social CRM, business intelligence, financial trading...

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Financial-organization: GRP Partners
Website: grpvc.com
Launch Date: 1996

GRP Partners is a Los Angeles based Venture Capital firm with a national practice. Since 1982 the partners have invested in leading global brands including Starbucks, Costco, Overture, LastMinute.com and BillMeLater. GRP Partners manages over $1 billion and its most recent fund was closed in 2012. With professionals in Los Angeles and London, GRP has a global perspective when serving portfolio companies and seeking investment opportunities.

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Financial-organization: IA Ventures
Website: iaventures.com
Launch Date: January 2010

IA Venture invests in early-stage companies developing breakthrough tools and technologies for managing and extracting value from Big Data. IA Ventures was founded on the belief that managing and extracting value from massive, occasionally unstructured, often real-time data sets is a competitive advantage. Most data generated today is simply treated as exhaust “lost forever” along with the valuable insights held in it. This is purely because all but the most sophisticated organizations are overwhelmed by the massive datasets that are now...

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