Assistant
Sinequa recognized as a Leader in 2022 Gartner® Magic Quadrant™ for Insight Engines
Sinequa Named a Leader in the 2022 Gartner® Magic Quadrant™ for Insight Engines
We’re proud to be recognized as a Leader in the 2022 Gartner Magic Quadrant for Insight Engines, one of only seven vendors to earn this position out of 15 evaluated. This continues Sinequa’s long history of leadership, following previous recognitions in 2021, 2019, 2018, 2017, and in the 2015 Enterprise Search Magic Quadrant.
What Are Insight Engines?
Insight engines deliver relevant, contextual information by unifying and analyzing data from across your organization. They help employees and customers find the right information at the right time and they empower automated systems with the context needed for intelligent actions.
How Insight Engines Work
-
Connect to all your content and data: Integrate documents, records, and information from diverse systems.
-
Enrich and index your data: Apply natural language understanding, relevance models, and enrichment to create a powerful, searchable knowledge index.
-
Deliver insights in context: Provide meaningful information proactively or on demand to people and to machines.
Why They Matter
Insight engines are the evolution of enterprise search. Instead of simply retrieving documents, they deliver actionable insight, enabling teams to work faster, make smarter decisions, and unlock more value from their information.
“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.
Share
