↑You can earn a stable side income.
ThinkNavi possesses the following capabilities:
Knowledge gathering
ThinkNavi gathers knowledge from internal documents, web-based information sources, and discussions.
Conceptualization
Organize the collected knowledge into a conceptual structure rather than disjointed chunks.
Outcome
We support decision-making based on specific strategies, concepts, and criteria, rather than merely facilitating information retrieval.
*You can get started for free if you use your own OpenAI API key.
Thinking Support
Unlike conventional AI chat system, this system asks questions to guide user’s thought process, with conceptual structure model, adapting to from strategy to day-to day levels.
Hypothesis Diagnosis
AI diagnoses the persuasiveness of hypothetical corporate philosophies, technological ideas, and business/product ideas. These are then refined through repeated revisions.
Auto Research
AI automatically collects qualitative information and supplementary numerical/category values based on the user’s chosen theme and saves them to a CSV file.
Concept Mapping
The collected data is placed in a semantic space using a conceptual structure model, and then mined by AI. This supports the creation of strategies and concepts.
Knowledge Base
You can build knowledge base quickly from internal documents or conceptual structure model. It works robustly than traditional RAG/GraphRAG.
Store
A marketplace to distribute knowledge bases as new chat-type contents for free or for a fee. Not only answer users’ questions, but also actively provides lecture.
Contact us
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