Sinequa Workplace Search, a peek under the hood

Take a Peek Under the Hood
The problem is not that enterprise information does not exist. It is that employees cannot access it efficiently. Research shows that more than half of employee time can be spent switching between applications and searching for information rather than doing the skilled work they were hired to do. Work gets duplicated because finding what was done before takes longer than starting over. Expertise goes untapped because the knowledge encoded in existing documents is not surfaced when the next team faces the same problem.
Sinequa’s Workplace Search is the enterprise search platform that makes organizational content genuinely discoverable — unifying access across all your systems, applying advanced search relevance that understands professional queries, and ensuring that every employee can find the information they need, when they need it, within the boundaries of what they are authorized to see.
What You’ll Learn:
- The essential functions that turn raw information into actionable insights: Understand the foundation of an intelligent search experience.
- The core benefits of Workplace Search and the Sinequa Search Cloud: See how unified search improves productivity, accuracy, and efficiency.
- How one SaaS search platform can deliver value across your entire workforce: Explore how a single solution can connect people to the knowledge they need—instantly and securely.
Unlock the full potential of your workplace with intelligent search.
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DownloadWhat’s Inside the Brochure
The brochure covers the four technical pillars that make Sinequa’s Workplace Search work at enterprise scale:
Content Analysis: In-Depth Understanding of What Your Content Actually Means
Sinequa’s content analysis engine applies Natural Language Processing and Machine Learning built on more than 25 years of NLP research. At indexing time, the platform performs concept extraction, semantic analysis, machine learning-based document classification, and named entity recognition across 20+ entity types — including business-specific entities such as products, parts, and programs. The result is an index that understands the meaning and relationships within your content, not just its keywords — making it possible to surface the right document even when an employee does not know exactly what they are looking for or how it was titled.
Connect Content: 200+ Connectors to Break Down Every Silo
Enterprise content lives in SharePoint, Teams, Slack, Salesforce, SAP, file systems, cloud repositories, and hundreds of other business applications. Sinequa’s 200+ pre-built connectors bring all of it into a single unified search experience — accessible from one entry point, searchable with one query, and secured with access controls that enforce the permission model of every underlying source system. Breaking down content silos is, as the brochure notes, the first step to success.
Security Built In: Authorized Access Without Compromise
Enterprise search that does not respect access controls is not enterprise search — it is a data exposure risk. Sinequa’s security model enforces content access rights at the retrieval layer, ensuring that classified and sensitive documents are accessible only to those authorized to see them. Organizations including NASA deploy Sinequa’s platform precisely because of this security architecture. Every customer environment is dedicated and isolated, with strong data encryption throughout.
Search Relevance: Getting Employees to the Right Answer, Fast
Relevance is the difference between search that saves time and search that wastes it. Sinequa’s search relevance combines natural language understanding (deep query meaning in any language), query analysis (spelling correction, auto-completion, query suggestions), and query intent detection — understanding whether an employee is looking for a document, an expert, a product, or information about a customer, and routing results accordingly.
The Foundation for What Comes Next
The platform this brochure describes is the search and retrieval foundation that now powers Sinequa’s enterprise AI assistants, AI agents, and advanced RAG capabilities. The content analysis that makes documents semantically searchable is the same analysis that makes them retrievable by AI agents. The 200+ connectors that unify enterprise content for human search are the same connectors that give AI agents access to the organization’s full knowledge environment. The access control architecture that protects sensitive content from unauthorized human access is the same architecture that governs what AI agents can retrieve.
Understanding how Sinequa’s workplace search works is understanding the foundation layer that makes enterprise AI reliable.
Three Bottom-Line Outcomes
From the brochure itself:
- Achieve more: Reduce the time employees spend switching apps and searching — returning that time to the skilled work that creates value
- Duplicate less: Make past research and projects findable, so teams are not re-solving problems that have already been solved
- Know what your company knows: Put institutional knowledge — including expertise implicit in documents — to work for every team, every day
Frequently Asked Question
Enterprise workplace search is a dedicated search infrastructure designed to handle the data complexity of large organizations: dozens of disconnected source systems, mixed structured and unstructured content, access control requirements that vary by system and user, and the semantic complexity of professional queries that cannot be answered by keyword matching alone. Standard search tools — including the built-in search in Microsoft SharePoint, Google Workspace, or individual business applications — index one system at a time and apply relevance models built for general web search, not enterprise knowledge environments. Enterprise workplace search connects across all of an organization’s data sources simultaneously, applies semantic relevance that understands professional terminology and query context, enforces source system permissions at retrieval time, and delivers results that reflect the full breadth of organizational knowledge rather than a single system’s contents. The quality gap between standard search and enterprise-grade search is most visible in the scenarios that matter most: complex queries that require synthesizing information from multiple sources, searches that span sensitive data with strict access requirements, and the knowledge retrieval that AI agents depend on to produce accurate outputs.
inequa’s enterprise search platform connects to more than 200 enterprise data source types through its connector library, covering the systems that large organizations actually use: Microsoft SharePoint and Microsoft 365, Salesforce, ServiceNow, SAP, Oracle, engineering and PLM platforms (Siemens Teamcenter, PTC Windchill), document management systems (iManage, NetDocuments, OpenText), collaboration platforms (Teams, Slack, Confluence), databases, file systems, email archives, and a broad range of industry-specific applications. New connectors are continuously added for emerging enterprise platforms. The connector architecture indexes each source system’s content with the access control metadata from that system, ensuring that the unified search layer respects the permission model of every connected source — users see results from every system they are authorized to access, and only those systems.
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