3 Big Data Startups


What does it do? Launched in 2006, Guavus provides an integrated big data analytics technology stack – coupled with a business logic layer – to codify industry-specific, big data analytics applications. Currently serves primarily the telecommunications industry.

Management team Anukool Lakhina, Founder and CEO; Ty Nam, Chief Operating Officer; Professor Mark Crovella, Chief Scientist.

Investors Intel Capital, Sofinnova Ventures and Artiman Ventures.

Big data quote Anukool Lakhina: “The vocabulary that’s being used to describe [big data] is tools and technologies and that confuses customers because it doesn’t help them understand how data can be used to solve their problems.”


What does it do? Launched in 2009, BIScience is a business intelligence solution provider for media buyers, sales managers, affiliates and internet professionals with a stake in online media and advertising.

Management team Orey Gilliam, CEO [co-founders Assaf Toval and Kfir Moyal no longer involved in day-to-day management].

Investors: Cyhawk Ventures.

Big data quote Orey Gilliam:  “Take your normal banner ad. Just by looking at it, you can tell who the advertiser is, and the publisher, but the intermediaries — the ad networks, agencies, and affiliate networks — aren’t apparent, leaving you in the dark if you really want to understand how a campaign was executed. With AdClarity, on the other hand, BiScience claims you can see exactly where a campaign ran, which mediators were used, and what the ad creative looked like.”


What does it do? Launched in 2005, Quantivo provides cloud-based, on-demand big-data analytics solutions directly to business users.

Management team Dave Robbins, President and CEO; Paul O’Leary, Founder and CTO

Investors: Foundation Capital and Partech International

Big data quote Paul O’Leary: “Even though there is still much to be debated about how “big data” will go down in history, to us it really boils down to one thing – analytics. If you have more data than you know what to do with, that’s a big data problem. Big data is really just a term relative to the size of your own company’s data and it’s going to be different for everyone.”