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Sinequa review

A governed search platform for large enterprises with complex information estates.

9.4/10Editor score
Sinequa9.4 Visit Sinequa

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Sinequa is an enterprise AI search and knowledge platform for large organizations with information spread across business applications, documents, databases, email, and other enterprise sources. It combines hybrid vector, keyword, graph, structured, and multimodal retrieval with natural-language processing and AI-generated answers. Permission-aware indexing, query-time access control, cited responses, and role-based administration make it suited to organizations that need search to respect existing information boundaries. The platform also supports AI assistants and agents, including no-code AI Assistant building. Founded in 1984 and offered by ChapsVision, Sinequa is positioned for data-intensive environments such as manufacturing, life sciences, aerospace, legal, and financial services.

Its ecosystem coverage is a central strength. Sinequa lists more than 200 pre-built enterprise connectors, including SharePoint, Confluence, Salesforce, SAP, ServiceNow, Documentum, Microsoft Teams, Microsoft OneDrive, Google Drive, Dropbox, Box, Oracle, Veeva, iManage, and PTC Windchill. This broad connector set supports enterprise-wide search across varied repositories, while permission synchronization, least-privilege administration, and cited source references support controlled access and traceability. Deployment options span managed SaaS, private cloud, and on-premises environments, giving organizations room to align the platform with their operating model.

Sinequa uses a contact-sales pricing model rather than published plan tiers. That approach fits large organizations evaluating deployment, governance, connectors, and AI search requirements as part of a broader commercial discussion. The product should appeal to enterprises that need one search layer across complex, permission-sensitive content and want answers tied to internal sources. Smaller teams, or organizations looking only for a straightforward document search tool, may find its retrieval methods, administration controls, assistant capabilities, and deployment choices broader than necessary.

Sinequa pros and cons

  • Where it wins
    • Combines vector, keyword, graph, structured, and multimodal retrieval
    • Permission-aware search with cited, traceable answers
    • 200+ connectors and SaaS, private-cloud, or on-premises deployment
  • Where it doesn't
    • Pricing requires a contact-sales conversation
    • Its breadth may exceed the needs of teams seeking basic search
    • Enterprise value depends on connecting business data and permissions

Sinequa fact sheet, pricing and score →

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