SOURCE: Sinequa


June 27, 2017 09:00 ET

Sinequa Integrates Cloud AI Services to its Cognitive Search & Analytics Platform

Image recognition, speech to text, natural language translation, video transcription from Google and IBM Watson Cloud AI Services now available as capabilities from within the Sinequa Cognitive Search & Analytics Platform

NEW YORK, NY, and PARIS, FRANCE--(Marketwired - June 27, 2017) - Sinequa, a leader in cognitive search and analytics, today announced the addition of advanced artificial intelligence (AI) capabilities to its platform. These capabilities leverage Google Vision and Translate as well as IBM Watson Alchemy for Image Recognition and Speech-to-text. These additions bolster related capabilities already in place with the existing integrations for Microsoft Azure Media Services for image and video treatment.

The new AI capabilities benefit from the enormous amount of text and images available on the Web, far beyond anything a single enterprise could have available internally. Sinequa customers can now easily translate text in a large number of languages, analyze and tag images and transcribe video conversations, enriching the Sinequa Logical Data Warehouse (LDW) with the results.

"The openness of our platform allows us to quickly and easily integrate best-in-class third party technologies like speech-to-text, image recognition or video treatment to offer a comprehensive end-to-end solution to our customers. Dealing with additional rich-media content enhances the knowledge accumulated within our platform, recognizing topics and concepts in text and images while establishing relationships between them," said Laurent Fanichet, vice president of marketing, Sinequa. "More importantly, we leave the choice to the customers to decide whether they want/need to extract value from large volumes of structured and unstructured data on-premise, or in the Cloud or both, which is quite unique."

"Images, audio and video data are an increasing share of data most organizations have to deal with. Having an open platform to add capabilities to handle these rich-media contents easily and effectively makes perfect sense for enterprise applications like Sinequa's Cognitive Search & Analytics Platform," said David Schubmehl, IDC Research Director for Cognitive/AI Systems. "Depending on the data types and its sensitivity, organizations in key information driven verticals require the flexibility to decide what data resides on-premise vs Cloud. The ability to ingest, understand, organize, and query digital content from multiple data sources whether on-premise or in the Cloud will be a key differentiator for enterprise solutions in general and Sinequa in particular."

Broad Connectivity to On-Premise Enterprise Applications, Hadoop and Cloud Environments Sinequa continues to broaden its support of increasing volumes and diversity of enterprise data retained in Cloud, Hadoop and on-premise Enterprise Applications with a constantly growing family of 150+ smart connectors.

About Sinequa

Recognized as a leader in the Gartner Magic Quadrant for Insight Engines 2017 and other analysts' reports, Sinequa provides a cognitive search and analytics platform for Fortune Global 2000 companies and government agencies. Using advanced Natural Language Processing (NLP) and Machine Learning algorithms, the solution offers insights extracted from structured and unstructured data. Millions of users in the world's largest and most information-intensive organizations, including Airbus, AstraZeneca, Atos, Biogen, UCB, Credit Agricole, Mercer, and Siemens, rely on Sinequa to put business-critical information at the fingertips of their employees. Sinequa develops its expertise and its business around the world with a broad network of technology and business partners. Sinequa is a founding sponsor of the Cognitive Computing Consortium. For more information, visit

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