Fluid Topics
Fluid Topics is a product knowledge platform that brings product information from multiple sources into a repository and delivers it to people, applications,…
What Fluid Topics is
Fluid Topics is a product knowledge platform that brings product information from multiple sources into a repository and delivers it to people, applications, and AI tools. It can publish information through documentation portals, chatbots, AI agents, community channels, and embedded help. Search combines keyword and semantic methods, uses user context to personalize results, and indexes content in real time. Its customizable portal works on mobile and desktop, with access controls and offline mode; Portal Designer is intended to let users configure portals without technical skills. Fluid Topics supports more than 100 content sources and formats, and provides APIs for custom integrations and workflow automation. Its AI infrastructure includes a knowledge layer and an MCP server, and customers can choose their preferred large language model. The platform states that it has ISO 27001:2022 certification, encrypts communications with AES-256 and TLS, and runs embeddings and its vector database internally. Fluid Topics is made by a company founded in 1999 and based in Lyon, France. It is available on the web and by API, with pricing on request.
Good
- Search combines keywords and semantic matching.
- Portal offers access controls and offline mode.
- Supports more than 100 sources and formats.
- Customers can choose their preferred LLM.
- Custom APIs support integrations and workflow automation.
Watch out
- Pricing is available only on request.
- Custom connectors may require development skills.
- Customers should review their chosen LLM provider's privacy policy.
Who it suits
Fluid Topics suits organizations that need to collect product documentation from varied sources and deliver it across portals, support channels, or AI tools. Its stated customer sectors include enterprise software, medical devices, high tech, and manufacturing.
Verdict
Fluid Topics combines documentation management, search, publishing, analytics, and AI infrastructure in one platform. Organizations considering it should check pricing and evaluate whether its source support, access controls, and delivery options fit their needs.
The facts
Each one read from Fluid Topics's own pages, with the date it was checked.
What it does
- AI
- Fluid Topics provides infrastructure for generative AI and RAG, including a knowledge layer and an MCP server for connecting AI agents to product knowledge.checked 7 Oct 2026
- AI data controls
- The company says embeddings and its vector database run internally, and RAG tools enforce users’ content access rights.checked 7 Oct 2026
- AI model choice
- Customers can select their preferred LLM and are directed to check that provider’s privacy policy for security details.checked 8 Oct 2026
- AI privacy
- Fluid Topics says it runs embeddings computations and its vector database internally, and applies content access rights in its RAG tools.checked 8 Oct 2026
- Analytics
- Its content analytics suite provides visibility intended to support data-driven content decisions and demonstrate product knowledge ROI.checked 8 Oct 2026
- Audience
- The company describes its customers as including Fortune 500 businesses in enterprise software, medical devices, high tech, and manufacturing.checked 8 Oct 2026
- Content delivery
- It collects and syncs content from multiple sources into a knowledge repository and delivers it across portals, chatbots, AI agents, and in-product help.checked 7 Oct 2026
- Content formats
- It natively processes DITA, DocBook, HTML, Markdown, and YAML, and can restructure Word documents and wiki markup.checked 8 Oct 2026
- Custom connectors
- Customers can develop their own connectors using the fluidtopics Python package; development skills may be necessary.checked 8 Oct 2026
- Custom domain
- Yeschecked 20 Sep 2026
- Custom integrations
- Fluid Topics provides APIs for custom integrations and workflow automation.checked 7 Oct 2026
- Delivery
- The platform delivers content to documentation portals, community channels, chatbots, AI agents, and embedded help systems, with native API integration.checked 8 Oct 2026
- Encryption
- The service states that communications are encrypted with AES-256 and TLS 1.3, or TLS 1.2 when older devices require it.checked 8 Oct 2026
- Integrations
- Listed connectors include Adobe FrameMaker, MadCap Flare, Paligo, Microsoft Word, Confluence, Jira, Salesforce, and formats such as OpenAPI, Markdown, JSON, and YAML.checked 8 Oct 2026
- Intended users
- The company describes customers across enterprise software, medical devices, high-tech, and manufacturing, and says its platform supports customer service and field service operations.checked 7 Oct 2026
- LLM choice
- Customers can select their preferred large language model for the platform’s AI and RAG tools.checked 7 Oct 2026
- Portal
- The platform includes a customizable documentation portal for mobile and desktop, with access controls and offline mode.checked 7 Oct 2026
- Portal design
- Portal Designer lets users create and customize documentation portals without technical skills.checked 8 Oct 2026
- Pricing
- The official pages opened for this research did not state a product price or plan price.checked 7 Oct 2026
- Product
- Fluid Topics positions itself as a Product Knowledge Platform that unifies product information in a central knowledge hub and delivers it across channels.checked 8 Oct 2026
- Reliability
- The platform page states a 99.9+% uptime SLA.checked 7 Oct 2026
The company
- Company history
- Fluid Topics says it was founded in 1999 under the name Antidot and launched its Content Delivery Platform in 2014.checked 8 Oct 2026
- Founded
- 1999checked 28 Sep 2026
- Headquarters
- Lyon, Francechecked 28 Sep 2026
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