Sinequa
Paris enterprise AI search platform, now part of ChapsVision, with 200+ native connectors and 22+ languages
Quick Overview
| Company | SINEQUA (SAS), part of ChapsVision |
|---|---|
| Category | Enterprise Search and AI Work Assistant Software |
| Headquarters | Paris, France |
| Founded | Not stated |
| EU Presence | Yes - France (EU) |
| Data Location | Cloud, on-premises or hybrid |
| Open Source | No |
| GDPR Compliant | Yes |
| Self-Hosting | Yes - on-premises or hybrid |
| Main Features | Enterprise AI search, AI assistants and agents, advanced RAG, 200+ native connectors, 350 document formats, 22+ languages, document-level access controls |
| Pricing | Pricing on request |
| Best For | Large multinational organisations with complex systems, many languages and regulated data |
| Replaces | Glean, Coveo, Elastic |
Detailed Review
Sinequa has sold enterprise search for over two decades and now positions the product as an enterprise agentic AI platform covering AI search, assistants, agents and advanced RAG. Its site carries the line 'Sinequa by ChapsVision'.
The privacy policy names SINEQUA as a simplified joint-stock company under French law, registered with the Paris Trade and Companies Register under number 442 599 213, with its registered office at 24 rue de la Pépinière, Paris.
Connectors, Formats and Languages
Sinequa's own comparison page states 200+ native connectors and 350 document formats, and natural language processing in 22+ languages, including entity extraction and cross-language retrieval. A question in one language can therefore surface documents written in another.
It names SharePoint, Salesforce, SAP, ServiceNow, Jira and Confluence as typical sources.
Search, RAG and Agents
The platform combines neural search with retrieval-augmented generation, and the product menu lists AI agents, AI assistants, agentic AI orchestration and a security and trust area. Solutions are grouped by task, such as maintenance and support, engineering, research, legal work, compliance and workflow automation.
Deployment
Sinequa states that it can be deployed in the cloud, on-premises or hybrid, which it ties to data residency requirements in regulated industries.
Limitations to Consider
Sinequa is aimed at large organisations and is sold through demos and projects, with no published prices, so it is not a quick self-serve start. The privacy policy covers the website and the company has international customers, so confirm which entity signs your contract. Several of its stated figures come from its own comparison page, which also ranks its competitors.
Who Should Use Sinequa
Large and multinational enterprises, especially in manufacturing, life sciences and finance, that search across many systems and languages and want to keep deployment options open.
Pros and Cons
Pros
- 200+ native connectors stated
- 22+ languages with cross-language retrieval
- Cloud, on-premises or hybrid
- Two decades of enterprise search
- French registered company
Cons
- No published pricing
- Aimed at large organisations
- Figures come from its own marketing pages
- Part of a larger group (ChapsVision)
Alternatives to Sinequa
Other European enterprise search and ai work assistant software worth comparing before you decide:
Langdock
Germany · Model-agnostic AI chat, agents and workflows hosted in the EU
Ayfie
Norway · Norwegian AI platform for work with an index and assistant
IntraFind
Germany · Munich enterprise search with iFinder, iAssistant and iHub
Mindbreeze
Austria · Austrian insight engine with 500+ data source connectors
See all European enterprise search and ai work assistant software or compare them directly against Glean on our alternatives page.
Frequently Asked Questions
Sinequa's privacy policy names SINEQUA as a French simplified joint-stock company registered in Paris under number 442 599 213, and the site describes the product as Sinequa by ChapsVision.
Its comparison page states 200+ native connectors and 350 document formats, with natural language processing in 22+ languages.
Yes. Sinequa states that it supports cloud, on-premises and hybrid deployment.