Every organization faces the same, increasingly difficult challenge. Information and insights are hidden within documents, files, email and other types of content that are being created at an astonishing rate by different people, in different languages and stored in different locations within the digital workplace. This is the key reason that intelligent enterprise search has become essential for large, knowledge-intensive organizations.

Intelligent enterprise search boosts the productivity of the entire organization by unifying all your content platforms — applications, repositories, SharePoint sites, email systems, network shares, intranets, extranets, websites, databases, etc. — into a personalized, AI-powered search experience. With its ease of deployment, immersive relevance, and intuitive interface, Sinequa’s Intelligent Enterprise Search is the solution for your information-driven needs.

  • Elevate the performance of every employee by presenting actionable and contextual information to surface insights, inform decisions, and increase productivity.
  • Deploy a scalable, secure, and proven solution that has been forged by experience with large companies and complex projects in heterogeneous environments with large volumes of digital content.
  • Create a foundation for intelligent search applications that address a wide range of use cases.
The customer journey

With its roots in Enterprise Search since its inception, Sinequa is a recognized software vendor in this market and received industry analysts accolades time and time again i.e. named a Leader in the Gartner Magic Quadrant for Enterprise Search in 2015, in the Gartner Magic Quadrant for Insight Engines in 2017, 2018 and 2019. A leader in the Forrester Wave for Big Data Search and Knowledge discovery solutions, Q3, 2015, the Forrester Wave for Cognitive Search Q2, 2017 and Q2, 2019.

Over the years, Sinequa continuously tapped into its core expertise along its team of innovation-driven R&D experts to bring a new generation of enterprise search solutions that employ AI technologies such as natural language processing and machine learning to ingest, understand, discover, and query digital content from multiple data sources. It is only the beginning of the journey to become Information-Driven.

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Enterprise Search - Then & Now Read our blog post: Enterprise Search – then and Now

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