Evidence-backed comparison of Glean Search and Sinequa Enterprise AI Search across capabilities, integrations, deployment options, confidence and known limitations.
TechSelectAI compares Glean Search and Sinequa Enterprise AI Search using recorded product evidence rather than user-specific recommendation scoring. Glean Search currently has 4 supported, 0 conditional, 5 unknown/not-yet-verified, and 0 not-supported capabilities. Sinequa Enterprise AI Search currently has 5 supported, 0 conditional, 4 unknown/not-yet-verified, and 0 not-supported capabilities. Known-fact confidence is 99% for Glean Search and 99% for Sinequa Enterprise AI Search. Latest recorded review or verification activity across the comparison: Sep 18, 2026.
This summary reflects recorded TechSelectAI evidence only. It is separate from buyer-specific Fit Score, Evidence Confidence, TechSelectAI Verified Reviews and Public Review Intelligence. Unknown means not yet verified, not unsupported.
AI-powered workplace search that connects enterprise applications and content sources to deliver personalized, permissions-aware search and grounded answers across company knowledge.
Enterprise AI search platform for securely connecting, indexing and retrieving knowledge across enterprise systems with hybrid retrieval, permissions enforcement and grounded AI assistants.
Different coverage percentages can reflect how much TechSelectAI has researched and verified, not which product is better. “Research pending” means the current evidence set is incomplete; it is not evidence that the product lacks the capability.
Status and confidence reflect recorded evidence. Unknown means not yet verified, not unsupported. In the summary above, TechSelectAI labels this state “research pending”.
| Capability | Glean Search | Sinequa Enterprise AI Search |
|---|---|---|
| Grounded AI answers / assistantsAI Answers & Knowledge Operations | Supported99% confidenceGlean documents grounded answers generated from relevant company knowledge and current indexed enterprise content. | Supported99% confidenceSinequa documents grounded AI assistants and real-time contextual answers with reference trails. |
| Knowledge curation & verificationAI Answers & Knowledge Operations | Not Yet Verified0% confidence | Not Yet Verified0% confidence |
| Search analytics & administrationAI Answers & Knowledge Operations | Not Yet Verified0% confidence | Supported97% confidenceSinequa documents a management console, configurable relevance/security controls and auditability; exact analytics depth should be validated for the target deployment. |
| Android mobile applicationMobile Access | Not Yet Verified0% confidence · native_android_appMobile availability has not yet been verified from first-party evidence. | Not Yet Verified0% confidence · native_android_appMobile availability has not yet been verified from first-party evidence. |
| iOS mobile applicationMobile Access | Not Yet Verified0% confidence · native_ios_appMobile availability has not yet been verified from first-party evidence. | Not Yet Verified0% confidence · native_ios_appMobile availability has not yet been verified from first-party evidence. |
| Mobile web accessMobile Access | Not Yet Verified0% confidence · mobile_webMobile availability has not yet been verified from first-party evidence. | Not Yet Verified0% confidence · mobile_webMobile availability has not yet been verified from first-party evidence. |
| Enterprise connectors & unified indexingSearch, Retrieval & Connectivity | Supported99% confidenceGlean documents 100+ enterprise tools/connectors and real-time indexing across company applications; connector availability varies by source. | Supported99% confidenceSinequa documents prebuilt connectors and unified access across enterprise systems, documents and data sources. |
| Permissions-aware retrievalSearch, Retrieval & Connectivity | Supported99% confidenceGlean documents enforcement of existing source permissions so users only see content they are authorized to access. | Supported99% confidenceSinequa documents inherited source permissions and document-level security for search and AI retrieval. |
| Semantic / hybrid relevance & searchSearch, Retrieval & Connectivity | Supported99% confidenceGlean documents deep-learning vector search, semantic understanding, personalization and continuously improving relevance. | Supported99% confidenceSinequa documents keyword, vector, graph, structured and multimodal retrieval plus hybrid neural search. |
| Deployment model | Glean Search | Sinequa Enterprise AI Search |
|---|---|---|
| On-premise | Not recorded | Supported99% confidence |
| Public SaaS | Not recorded | Supported99% confidence |
Comparison facts, TechSelectAI analysis, community-derived insights and estimates are kept as separate evidence types. Missing evidence is not treated as proof of non-support.
Adjust the context below. Context Fit is calculated from the same published TechSelectAI evaluation signals and scoring methodology; it does not replace verified product facts or the saved project Decision Matrix.
What could change this recommendation? Confirmed requirements, must-have failures, exact integrations, regional availability, pricing, security requirements, and implementation capacity can materially change fit. For a saved, reproducible decision with custom weights, use a Selection Project.
A feature comparison is not the same as a recommendation. TechSelectAI can evaluate both products against your must-have capabilities, integrations, deployment constraints, security requirements, region and budget.
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