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 1. home
 2. Resources
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 4. Analysis
 5. Gartner Magic Quadrant for Insight Engines 2022


SINEQUA RECOGNIZED AS A LEADER IN 2022 GARTNER® MAGIC QUADRANT™ FOR INSIGHT
ENGINES.

Sinequa is proud to be recognized as one of seven vendors named in the Leaders
Quadrant in the 2022 Gartner Magic Quadrant for Insight Engines, which evaluated
15 vendors total. This comes after been positioned repeatedly as a Leader in the
Gartner Magic Quadrant for Insight Engines 2021, 2019, 2018, 2017 and in the
Gartner Magic Quadrant for Enterprise Search in 2015.


WHAT ARE INSIGHT ENGINES?

Insight engines are systems that apply relevancy methods to discover, describe,
organize and analyze content and data. They enable existing or synthesized
information to be delivered proactively or interactively to digital workers,
customers and others in the context of their business moments.

Insight engines represent an evolution of search and natural language
technologies (NLTs). They deliver information in context to people (content in
context) and to support machine automation (data in context). They do this by
connecting to varied sources and types of content (such as documents in content
services platforms) and data (such as records in operational database management
systems) in order to build an index of extracted data that can be queried by
people and machines. Connectors and pre-index processing are used to gather and
enrich data before it is indexed; touchpoints and post-query processing are used
to simplify the experience for people. Insight engines should be viewed as
platforms on which multiple insight applications are provided and developed.



"Leaders demonstrate a strong understanding of the insight engine market, along
with marketing plans that differentiate and communicate value to reach buyers
across a range of use cases. They have the sales or geographic strategy to
exploit their marketing effectively. Offering products that demonstrate strength
across the broadest range of critical capabilities, they have strong overall
viability, sales execution and operations. Customers praise their experiences of
Leaders’ products or services, and of the vendors themselves. However, potential
customers should note that a Leader is not always the best choice. A smaller,
more focused vendor could potentially provide excellent support for, and
commitment to, individual needs."




ABOUT MAGIC QUADRANT FOR INSIGHT ENGINES

Insight engines combine search with AI to deliver actionable insights derived
from the full spectrum of content and data sourced within and external to the
enterprise.

Key findings:

 * Expert perspectives and strategic planning assumptions
 * Analysis of relevant trends, including why "insight engine technology is
   critical"
 * Detailed evaluation of the key differentiators across available technologies
   and vendors

DISCLAIMERS:

Gartner, Magic Quadrant for Insight Engines, Stephen Emmott, Anthony Mullen,
David Pidsley, Tim Nelms. – December 12, 2022.

Gartner does not endorse any vendor, product or service depicted in its research
publications, and does not advise technology users to select only those vendors
with the highest ratings or other designation. Gartner research publications
consist of the opinions of Gartner’s research organization and should not be
construed as statements of fact. Gartner disclaims all warranties, expressed or
implied, with respect to this research, including any warranties of
merchantability or fitness for a particular purpose.

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.

GARTNER is a registered trademarks and service mark, and MAGIC QUADRANT is a
registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and
internationally and are used herein with permission. All rights reserved.


VIEW THE REPORT

Gartner Magic Quadrant for Insight Engines



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