Surfing the Cognitive Search Wave (as a Leader) Again

The Forrester™ Wave: Cognitive Search, Q2 2019
Sinequa has again been named a leader in “The Forrester™ Wave: Cognitive Search, Q2 2019.” The report is available for download here.

For global enterprises with complex use cases, Sinequa stands out as the right platform, according to the latest Forrester™ Wave1.

Let’s take a closer look and unpack some of the underlying details….

“Sinequa augments intelligence en masse […] to help organizations become ‘information driven’ by augmenting the intelligence of every employee.”

This statement astutely captures Sinequa’s view that it’s not about the data, the software, or analytics, it’s about the people. This perspective lies at the heart of our tagline, Become Information-Driven, which implies that organizations should leverage modern technology to power solutions that help individual knowledge workers accomplish their goals in order for the entire organization to perform at peak levels and outcompete in their market.

“[Sinequa] accomplishes this by surfacing knowledge, uncovering insights, and connecting experts via its cognitive search technology.”

These are indeed critical capabilities that should transcend the current (or future) state of the customer’s IT environment. As Sinequa-powered solutions can (and should!) be deployed wherever the relevant content and data resides – whether it be on-premise, in private or public clouds, or as a hybrid model – Sinequa customers can choose the deployment model that best aligns with their strategy and security policies, particularly when it comes to hosting sensitive data in the cloud.

“Sinequa expertly balances using its own NLU technology in combination with the latest open source ML technology.”

At its core, the Sinequa platform employs technology that automates the interpretation of meaning and applies structure to unstructured content. It intelligently combines deep natural language processing, rich semantic analysis, advanced entity extraction, and machine learning technology. This combination distills meaning from unstructured content and removes the noise, producing a clean and enriched index that consistently provides relevant information in context. In recent years, Machine Learning technology has been expertly woven into the platform to enhance understanding of complex data through experience instead of (or along with) codified business rules. Cohesively integrating these technologies into the Sinequa platform has effectively produced a production-grade machine learning platform for any enterprise.

“[Sinequa] has significant industry expertise in and offers solutions for life sciences, financial services, and manufacturing.”

This is no accident. With over a decade of experience, Sinequa understands the attributes of our most successful customers and realizes that they thrive with Sinequa because:

  • They are geographically-distributed and knowledge-centric
  • They have ambitious business goals and sophisticated IT environments
  • They routinely collaborate internally across geographies and across lines of business to drive decisions
  • They depend on highly diverse, high value content and data in different languages to drive their business forward
  • They either work with Systems Integrators for project execution or have their own in-house resources with a dedicated focus on systems integration

At Sinequa, we realize that a large share of our customers match these criteria and occupy the verticals pointed out by Forrester – i.e. life sciences, financial services, and manufacturing. After all, this is where Sinequa’s core competencies and unique capabilities can make the biggest impact.


1 Forrester Research, Inc., “The Forrester Wave™: Cognitive Search, Q2 2019” by Mike Gualtieri, with Srividya Sridharan and Elizabeth Hoberman.

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