Sinequa is a French search engine

Search engine

A search engine is an information retrieval system designed to help find information stored on a computer system. The search results are usually presented in a list and are commonly called hits. Search engines help to minimize the time required to find information and the amount of information...

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Sinequa provides an enterprise search solution that targets unified search, expertise location (people search), enterprise 2.0 and e-enterprise enablement. Sinequa’s product is particularly suited to environments with numerous data sources where security and connectivity are complex to address.

Sinequa

The company is based in Paris.[1] It was founded in 1984 as a linguistic laboratory under the name CORA which developed the foundation of the flagship product that later became Sinequa Corporate Search. Sinequa was acquired in a leveraged buyout in 2004 by CEO Jean Ferré and Chief Architect Alexandre Bilger. Its name comes from

• the Latin phrase sine qua non (meaning “without which not”)
• a sine qua non item is one that is needed

Sinequa focuses on developing and marketing an enterprise search solution.

Sinequa employs approximately 40 people in 2 countries (Paris and London).

Sinequa Enterprise Search specific features

Features of Sinequa Enterprise Search include:

• Document search with faceted navigation and linguistic and semantic analysis
• Social network generation and expertise location
• Proactive functionality to use the search engine as a communication or “process enforcement” tool
• GRID architecture and linear scalability
• Connectivity and security management
• Flexible and decentralized administration

Sinequa can process more than 18 languages with linguistic analysis (including French, English, German, Spanish, Italian, Dutch, Russian, Swedish, Portuguese, Finnish, Greek, Polish, Japanese, (traditional and simplified) Chinese, Korean and Thai).

Sinequa Enterprise Search provides entity extraction in various languages. Supported entities include geographical locations, companies, people, phone numbers, and user-defined entities.

Entities are used for:

• Dynamic filtering on a results list based on the most relevant entities

• Enhanced reading of an HTML preview using highlighting and navigation

• Summarizing documents

• Providing global statistics

Sinequa Enterprise Search offers a funnel navigation approach to end-users using navigation boxes. The user can navigate the search results using the different axes offered such as:

• Document concepts: most frequent noun-groups relevant to the question.
• Entities: automatically extracted from the document text, such as people, companies, geographic places, or any list (taxonomy) maintained by the client such as business specific vocabulary, company business units, financial products, etc.).
• Document metadata: date, keywords, file extension, authors and any other structured field.
• Ontology: document sorting by category rules.
• Similar documents: identifying which documents are syntactically and semantically similar.

Sinequa’s horizontal focus, in addition to general enterprise search as described above, is:

• Knowledge management (expertise location)
• Competitive intelligence
• eCommerce
• Database offload / Search based application and BI integration
• Compliance and eDiscovery