Sinequa provides multiple text mining capabilities, including deep text analysis, Natural Language Processing (NLP), and extensible text mining agents. The Sinequa platform is a fully semantic solution, with layers of analysis applied to extract meaning from unstructured text, and are then brought together to provide the most relevant and accurate results.

The Sinequa platform provides Machine Learning (ML) and Deep Learning (DL) algorithms that complement the platform’s deep integration with existing ML and DL frameworks to provide an “Enterprise Ready” solution that supports the creation, management and execution of ML/DL projects without the need for software development.

This integration enables the data scientist to configure select ML/DL algorithms on top of industry computation frameworks and choose what data to feed into the projects from the Sinequa enriched indexes. The output of these algorithms are subsequently written back into the Sinequa indexes for analysis, exploration and search-based applications.

The Sinequa platform offers a simple, intuitive, and familiar user interface framework that is flexible to accomodate the configuration of search-based business solutions and other types of information-driven applications built on top of the platform.

The configuration options of the Sinequa platform are accessible via a Web-based administrative interface that enables administrators to manage the main features of the solution. Via the Web administration interface, it is possible to adjust the settings according to contextual or business profiles, visibility of sources or relevance between sources, navigation boxes, activation of specific synonyms, graphs, advanced search, sponsored links, look and feel, etc.

The Sinequa solution also provides intuitive APIs that enable the platform to be seamlessly integrated into other environments without changing the existing experience of the end user. For example, REST calls can return results in XML or JSON.