Are you struggling with RAG or GraphRAG? The solution is to share "concepts" with AI.

We provide a reliable and rapid method for organizing and integrating scattered knowledge within an organization to build a robust knowledge base/inquiry system. This isn't just an AI chat that simply answers questions; it engages in dialogue to develop ideas, collect data, create documentation, and ultimately delivers a knowledge base as a deliverable. The conceptual structure model built during this process is a mathematical representation that allows AI to accurately understand the company's strategy, serving as the "command center" for future business automation.

It is also an interface between humans and AI.

Mindware is a vision that our founder, Kunihiro Tada, has pursued since the 1990s. It refers to products and services that help people achieve, by themselves, results close to those produced by superior intelligence or talent. Since 2000, we have accumulated technology and experience in fields such as self-organizing maps, probabilistic reasoning, statistical analysis, and machine learning. Today, with the rapid progress of LLMs, we are beginning to see a concrete path toward realizing Mindware by combining these accumulated technologies with large language models. The knowledge base technologies provided by Mindware Research Institute are the first step in this direction. They are not intended merely for information retrieval, but as an intellectual foundation that helps people and organizations think, judge, and make decisions. In the future, we plan to develop these technologies into a Digital Advisor / Digital Consultant that continuously accumulates organizational knowledge, experience, and judgment, and supports decision-making in both management and field operations.
Consulting Partner Program

An AI business network for management consultants, training instructors, certified professionals, and web production firms. This is a collaboration that combines your expertise with the AI ​​technology of the Mindware Research Institute. You can propose the use of AI to your clients. So it is a chance to become an AI provider yourself.

ThinkNavi

This platform offers a variety of applications using conceptual structure models. It can be used as a viewer for Mindware content, explore new concepts from data obtained through automated research, and easily build an AI concierge. Furthermore, the AI ​​guides you toward higher-quality thinking through chat.

ConceptMiner

Concept Modeling Engine. A set of libraries with tools, such as Growing Neural Gas (GNG) + Minimum Spanning Tree (MST), Self-Organizing Maps (SOM). Users can easily call these functions from their own systems using APIs, and develop applications using text/data mining, AI explainability, and associative memory.