Sinequa GenAI Assistant
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. We have been positioned repeatedly as a Leader in the Gartner Magic Quadrant for Insight Engines in 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.
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