Cognitive Search and Powerful Analytics Combine in Sinequa ES Version 10 with Spark at its Core

Sinequa has announced the general availability of Sinequa ES Version 10. Powered by machine learning capabilities, the new version aims to deliver deep analytics of contents and user behavior, and offer information with continually improving relevance to users in their work environments.

In order to achieve this advancement into the world of cognitive computing, with this new version, Sinequa has integrated the Spark platform in its distributed architecture and implemented machine learning algorithms on Spark within the core of its product. The machine learning algorithms continually analyze and enrich the content of the Sinequa Logical Data Warehouse.  AS a result, the new cognitive search and analytics platform offers better insights and more relevant information to meet users’ expectations.

“This new version is a leap forward into the era of ‘cognitive computing’ or ‘insight engines,’ to use the terminology coined by leading market analysts,” stated Alexandre Bilger, CEO, Sinequa. “In dealing with big data and its rapid growth, leading data-driven organizations need to rely on intelligent and self-learning systems to analyze data and find valuable information for their employees, thus increasing their productivity and job satisfaction, and the company’s competitiveness. Our machine learning capabilities achieve these goals by including collaborative filtering and recommendations, classification by example, clusterization and similarity calculations for unstructured contents, and predictive analysis.”

With this new release, Sinequa is now a “native resident” of cloud platforms, such as Amazon Web Services and Microsoft Azure. In addition, industry-specific dictionaries and ontologies Scibite and Linguamatics have been integrated for life sciences and healthcare industry customers. Google Vision and Microsoft Azure Media Services are also being leveraged to deal more effectively with images as and videos, while Google Translate is being used for automated translation for more than 100 languages.

The company says it is also continuing to broaden connectivity for extraction of valuable insights from enterprise applications, Hadoop, and cloud environments, with more than 150 ready-to-use connectors.

For more information about Sinequa ES V10, visit