Sinequa Named a Leader
in the Gartner 2017 Magic Quadrant
for Insight Engines
"Insight engines apply relevancy methods to describe, discover, organize and analyze data. This allows existing or synthesized information to be delivered proactively or interactively, and in the context of digital workers, customers or constituents at timely business moments" as defined by Gartner.
After having been positioned as a leader in the previous Magic Quadrant for Enterprise Search, Sinequa is thrilled to be recognized as one of only three leaders in the Gartner's 2017 Magic Quadrant for Insight Engines, which evaluated 13 vendors total. According to Gartner, Leaders have a strong a "Ability to Execute" and a "Completeness of Vision".
In Gartner's 2017 "Magic Quadrant for Insight Engines," the leading analyst firm offers a detailed analysis of who, we believe, are the major Insight Engines vendors.
Enterprises looking to embark on ambitious projects for extracting insights from their data can achieve critical in-depth content analytics with deep natural language processing and machine learning. This analytics of data and of user behaviour helps serving the most relevant information to users in their work context.
Disclaimer for MQ Graphic: This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Sinequa.
Download the Gartner Magic Quadrant for Insight Engines