Sinequa provides permission-aware enterprise AI search, hybrid retrieval, cited answers, and broad connector coverage for complex organizations.
Editorial score
Hybrid retrieval supports semantic, keyword, graph, structured, and multimodal search.
Public pricing is unavailable; commercial fees are set in an Order Form.
Sinequa is an enterprise AI search platform for organizations that need to retrieve knowledge across complex internal systems. Its strongest fit is permission-aware workplace search with hybrid retrieval, cited RAG-based answers, broad connector coverage, and flexible deployment. Buyers should plan a source-by-source validation of data freshness, operational behavior, and answer quality, while budgeting through a quote-based commercial process.
Sinequa is an enterprise AI search and retrieval platform for organizations with distributed internal content. It connects business systems and repositories, indexes structured and unstructured information, and provides a permission-aware search experience with cited RAG-based answers.
Sinequa combines semantic/neural, keyword, graph, structured, and multimodal retrieval. It supports natural-language and multilingual search, contextual ranking, and RAG-based answers with inline citations. Public materials do not provide metrics for answer accuracy, citation coverage, or hallucination rate, so teams should test answer quality against their own corpus and tasks.
Sinequa lists 200+ prebuilt connectors for collaboration tools, content management platforms, business applications, databases, file systems, directories, email, and specialized repositories. It states that it inherits source permissions and supports real-time access or synchronization. Refresh SLAs, deletion propagation, error handling, and citation behavior vary by connector and should be validated for priority systems.
The platform states that source permissions are enforced at query time. Governance features include multiple security domains, SAML 2.0 and OpenID Connect identity providers, least-privilege administrative RBAC, encryption at rest and in transit, BYOK, data residency options, and on-premises, private cloud, or managed SaaS deployment. The current certification scope is not specified here.
Sinequa is best suited to large organizations managing fragmented, sensitive, or regulated knowledge across complex systems, including life sciences, aerospace and defense, financial services, government, manufacturing, engineering, and legal services. It is a weaker fit for buyers who need transparent, fixed pricing or lightweight, self-serve workplace search, as commercial pricing is defined in an Order Form.
Where the product fits — and where to be careful
Strong fit for organizations that need a governed retrieval layer across many internal systems.
Good fit when security architecture and deployment flexibility outweigh a simple self-service rollout.
Sinequa presents strong enterprise governance controls: query-time permission enforcement, multiple security domains, SAML 2.0, OpenID Connect, administrative RBAC, encryption, BYOK, and deployment or data-residency choices. Search analytics and current certification scope are not established here.
Sinequa offers broad hybrid retrieval and cited RAG-based answers across enterprise content. The absence of public answer-quality and citation-coverage metrics prevents a higher score.
User-review evidence was insufficient for scoring usability, support, or value.
Sinequa lists 200+ prebuilt connectors and states that source permissions and permission updates are inherited, with real-time access or synchronization. Connector-specific operational behavior requires validation.
Sinequa does not list public paid tiers or a numeric starting price. Subscription fees are specified in the applicable Order Form.
Documented connections and access methods for Sinequa.
Salesforce Native
SAP NativeRecent product and company updates
ChapsVision unveils ChapsAgents
ChapsVision announced general availability of ChapsAgents, an enterprise platform launch from Sinequa's parent company.
SourceShowing 10 of 19 sources · 9 additional sources analyzed
Rate Sinequa