Sinequa Named in KMWorld's List of 100 Companies That Matter in Knowledge Management in 2023.
Accreditation awarded to Sinequa for the ninth consecutive year
New York, USA - Paris, France - March 27 2023 - KMWorld has named leading Enterprise Search platform, Sinequa, on its annually published list, “KMWorld 100 Knowledge Management Companies That Matter in 2023” for the ninth consecutive year. The list, which has been spotlighting innovative companies whose offerings can help organizations accelerate growth for over 20 years can be found on its website, and includes Sinequa’s ‘view from the top’ – an overview on the state of the knowledge economy.
“The increasing power of augmented and artificial intelligence, machine learning, natural language processing, semantic layering, knowledge graphs, cloud computing, chatbots, text analytics, and more has revolutionized many aspects of KM,” said Tom Hogan, Group Publisher, KMWorld. “Putting together the list of 100 companies that matter in KM causes us to look at companies with pioneering solutions. We applaud innovation, agility, and a focus on the customer. We are excited about the future.”
Wendy Lurrie, Chief Marketing Officer, Sinequa added, “We are once again honored to be recognized by KMWorld as a leader in the knowledge management space. As Tom points out, the past year has seen rapid change to the world of work, and it’s been an exciting time to be at the forefront of technologies delivering real impact to businesses. Our most recent announcements have included the launch of Sinequa Workplace Search, a SaaS solution that makes finding knowledge and expertise in the digital workplace effortless and the addition of advanced neural search capabilities which provide unprecedented relevance and accuracy at scale. Alongside a host of new integrations and partnerships, Sinequa has redefined the search experience for enterprise users. We’re looking forward to what the future holds for knowledge management and enterprise search.”
Sinequa’s platform combines four deep learning models which are trained for specific tasks and work in concert for the best possible relevance for any enterprise scenario. All four models are fully pre-trained, configured and optimized for enterprise content. This eliminates the laborious and costly process of tagging large training sets, training custom models, and updating them over time. Through Sinequa’s Neural Search, organizations can deploy intelligent search-based solutions with cutting-edge deep learning technology quickly and easily.
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