Intelligent Search Platform.

Get relevant information and insights to information workers on a timely basis in the context of their work.

Today, data-driven enterprises don’t fully achieve this. They rely on employees to bring context to the data to become informed. This requires employees to give extra thought and effort to evaluate the available options and make the right decisions. This, in turn, results in poorer corporate performance. To take the burden off employees and become truly information-driven, organizations need four enterprise search capabilities: secure access to all enterprise content, interpretation of content in a specific context, continuous learning, and intuitive presentation.

Sinequa intelligent search platform provides these capabilities and more.

By 2022

75%

of new end-user solutions leveraging AI and ML techniques will be built with commercial instead of open-source platforms.

Gartner: Top 10 Data and Analytics Technology Trends That Will Change Your Business, Published: 11 April 2019

By 2022

90%

of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.

Source: Gartner: 100 Data and Analytics Predictions Through 2023, Published: 8 January 2020

By 2022

30%

of CDOs will partner with their CFO to formally value the organization’s information assets for improved information management and benefits.

Source: Gartner: 100 Data and Analytics Predictions Through 2023, Published: 8 January 2020

Content.

Sinequa is unique in its ability to access content in all formats across all sources. This is done securely and at scale through our library of over 200 ready-to-go connectors and converters to over 350 document formats. We routinely add to this library to ensure rapid deployment and the most comprehensive view across the enterprise digital landscape.

Meaning.

Sinequa provides automation to help interpret meaning from all of the various content ingested by its platform. The platform combines natural language processing technologies to remove the noise and produce clean and enriched information. This serves as a foundation to provide relevant search results, precise analytics, and accurate robust machine learning.

Learning.

Machine Learning is critical to transform content and data into relevant information and actionable insights. This is how our platform learns through examples and handles complexity beyond what’s possible with a more traditional approach.

Presentation.

The right user interface helps people grasp the information presented simply in a matter of moments. That means a design that is user friendly, unobtrusive, and perhaps most critically, contextual to the user’s goals.