Gavagai, inspired by a thought experiment by the Harvard philosopher Willard Van Orman Quine (1908 - 2000) was formed in 2008 by Magnus Sahlgren and Jussi Karlgren, based on over ten years of research in computation, linguistics and cognitive science at SICS, the Swedish Institute of Computer Science. Gavagai develops automated and scalable methods for retrieving actionable intelligence from dynamic data. With its high performance dynamic text analytics system, Ethersource, Gavagai retrieves actionable intelligence from dynamic data.
Ethersource monitors dynamic text streams, detects useful signals, learns new concepts as they evolve, and captures actionable intelligence. Ethersource, in commercial customer use since May 2011, is currently used to track market mood with respect to tradable assets; to assess level of security threat to targets at risk; and to monitor consumer sentiment with respect to brands.
Ethersource is designed to be a base technology for immediate deployment in any information system which relies on the analysis of large streams of text or other symbolic data in application areas such as search, big data analysis, enterprise data warehousing, associative advertising, social media analysis, deep packet inspection, or word-of-mouth marketing.
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