Sinequa combines search with advanced Natural Language Processing (NLP), machine learning and deep learning algorithms to extract insights for users from both structured and unstructured data in their work context. Below is our recent interview with Alexandre Bilger, CEO at Sinequa:
Q: Could you provide our readers with a brief introduction to Sinequa?
A: Sinequa is an independent software company that provides a cognitive search and analytics platform for Global 2000 companies and government agencies. As its president and CEO, I bring more than 18 years of enterprise software experience to my role. I also have an incredible team of management and business leaders with expertise in product innovation and the technology industry.
Our company has been recognized as a leader in the Gartner Magic Quadrant for Insight Engines (2017-2019) and the Forrester Wave™: Cognitive Search & Knowledge Discovery Solutions (2015, 2017, 2019). Sinequa develops its expertise and its business around the world with a broad network of technology and business partners.
Our clients include significant players across multiple industries, for example: AstraZeneca, Biogen, Bristol-Myers Squibb, Celgene, Mercer, Pfizer, Siemens, Thales, Total and Volkswagen.
Recommended: Raydiant Raises $7M In New Funding To Help Businesses To Centrally Deploy And Manage Applications Across Many Screens From The Cloud
Q: Can you give us more insights into your comprehensive Insight Engine platform?
A: At its foundation, the Sinequa platform uses technology to automate the interpretation of meaning and apply structure to unstructured content. It intelligently combines deep NLP, rich semantic analysis, advanced entity extraction and machine learning technology. This combination derives meaning from unstructured content and removes the noise, producing a clean and enriched searchable index that consistently provides relevant information in context.
When we decided to integrate machine learning technology into the platform, it was designed to help any enterprise enhance its understanding of complex data through experience instead of (or along with) codified business rules.
Q: Who is your ideal client and why?
A: Sinequa understands the attributes of our most successful customers and realizes that they thrive with Sinequa because often, they are both geographically distributed and knowledge centric. These customers have ambitious business goals and sophisticated IT environments, they routinely collaborate across geographies and across lines of business to drive decisions. Sinequa’s idea customer also frequently depends on highly diverse, high-value content and data in different languages to drive business forward. They are either working with Systems Integrators (SIs) for project execution, or they have in-house resources with a dedicated focus on systems integration.
We recognize that a large share of our customers matches this criterion and occupy the life sciences, financial services and manufacturing verticals. These are at the heart of Sinequa’s core competencies and unique capabilities and can therefore make the biggest impact.
Q: What truly sets Sinequa apart from competitors?
A: Sinequa offers a flexible set of deployment options, supporting on-premises, cloud and hybrid deployments across the suite of components that make up an insight engine, including support for hosting on Amazon, Google, IBM and Microsoft cloud platforms. Sinequa also has a broad, deep range of data sources which allow us to index many varied sources of content.
We can also automate the analysis of millions of files and offer a 360-degree view of the experts within an organization to enable quick identification of the most qualified employees to solve a problem or launch a project. And, using our machine and deep learning algorithms, we can apply a number of powerful techniques across the search workflow.
Recommended: SaferNet’s VPN+ Aims To Revolutionize Cyber-Safety
Q: What can we expect from Sinequa in next four months?
A: Last summer, we completed a Series B funding round of $23 million and these funds will be used, in part, to expand further into the U.S., which currently accounts for 65 percent of our business. The funds will also be used to expand our customer success team that provides exemplary service to our customers. Finally, the funds will help to grow our research and development team, thereby accelerating the ongoing evolution of our world-class, intelligent search platform.