Solving "Information Dispersion" in Manufacturing with AI Knowledge Base, Saving Hundreds of Millions of Yen

The AI knowledge base "Fluid Topics," chosen by Fortune 500 companies worldwide, is finally making its full-scale entry into the Japanese market.

Spline Global Inc. (Location: Chiyoda-ku, Tokyo / Representative Director: Yoshio Fujimatsu) has signed an exclusive distribution agreement with Antidot, a French company, and will begin offering "Fluid Topics" from May 2026. Fluid Topics is a leading product knowledge platform adopted by advanced companies worldwide, from Fortune 500 companies like Siemens, Hitachi Vantara, and Johnson Controls to startups. It continues to grow at over 40% annually, rapidly increasing its presence as a knowledge base for the AI era.

**Challenges of "Product Knowledge" Faced by Japanese Companies**

Many manufacturing companies possess vast amounts of product knowledge, including technical documents, manuals, API specifications, and support articles. However, in reality, it is common for information to be inefficiently used, with employees needing to ask colleagues where to find desired information, file formats being inconsistent and not AI-ready, and difficulty determining which version is the latest. This situation not only hinders customers from solving problems themselves and drives up support costs but also poses a fundamental barrier to the success of generative AI and agent-type AI projects.

Much of the information within organizations is left in unorganized files, preventing AI agents from handling information correctly.

According to the "2026 State of KM & AI Report" published by KMWorld, a specialized media in the knowledge management field, 68% of companies cite "information dispersion" as the biggest barrier to knowledge management, with only 25% of respondents rating their knowledge management processes as "effective." Meanwhile, 67% of companies plan to introduce generative AI and agent-type AI, making the establishment of a reliable knowledge base an urgent management priority that directly impacts the success or failure of AI adoption.

This challenge of "inability to quickly and accurately access necessary information" is further exacerbated by the current labor shortage. When engineers and technicians who have supported the field for many years retire, the product knowledge in their heads is lost with them. New employees who take over are forced to spend time that should be dedicated to their core duties searching for information across multiple systems and verifying which is the relevant, latest, and accurate information.

Fluid Topics fundamentally solves this problem by consolidating scattered knowledge within the company into one place. By enabling everyone to instantly access accurate information, customers can solve problems themselves, dramatically improving customer experience. At the same time, new technicians can quickly absorb necessary knowledge, allowing for early deployment as productive members of the workforce.

**What is Fluid Topics?**

Fluid Topics is a leading product knowledge platform adopted by organizations of all sizes worldwide, including Fortune 500 companies. Based on over 25 years of research in semantic search, AI, and content accessibility since its founding in 1999, it was productized as a content delivery platform in 2014.

As a SaaS platform that ingests and integrates diverse product information regardless of source or format, such as manuals, API documents, and support information, it offers the following core functionalities:

* **Integrated Knowledge Hub**: Automatically aggregates and centrally manages content in various formats, both structured and unstructured (e.g., XML, DITA, HTML, Markdown, PDF, MS Office), with advanced conversion and enrichment features. * **AI Search & Generative AI**: Standard features include AI experiences such as semantic search, RAG support, content summarization, code explanation, and chatbots. * **Agent-type AI Support**: Fluid Topics' content processing capabilities reconstruct and enrich content for AI, connecting AI agents to product knowledge via MCP server integration, enabling knowledge-driven workflow automation. * **Multi-channel Delivery**: Delivers content to all digital channels, including documentation portals, helpdesks, in-product help, and chatbots. * **Native Documentation Portal**: Provides an out-of-the-box documentation portal with advanced access rights management and extensible customization features. * **Advanced Analytics**: Offers 8 types of documentation metrics.