KaiKura AI Knowledge
2026-04-22 07:10:32

Shinka Unveils KaiKura AI Knowledge: A Revolutionary Corporate Chatbot Service

Shinka Introduces KaiKura AI Knowledge



Shinka, a Tokyo-based company specializing in AI communication integrated platforms, has announced the launch of its new interactive chatbot service, "KaiKura AI Knowledge," which will officially roll out on April 27, 2026. This exciting service allows users to upload internal documents—such as PDFs, Word files, and texts—enabling the AI to learn from these specific sources and provide chat-based responses and summaries based on them. With this innovation, Shinka aims to streamline the search and utilization of essential company knowledge, including operational manuals, internal regulations, past meeting minutes, and proposals, significantly reducing the time and effort spent on information retrieval while minimizing hallucination or factual inaccuracies in the responses.

The Motivation Behind Developing KaiKura AI Knowledge


In light of the ongoing workforce shortages, many companies are accelerating their digital transformation (DX) efforts. However, an increasing amount of data has accumulated within organizations, leading to challenges such as not knowing where necessary manuals or regulations are located and spending excessive time searching for past meeting records or proposals. The common generative AI services often fail to provide responses based on the unique internal rules or the latest proprietary information, raising concerns about the generation of plausible falsehoods—termed hallucination—by these systems.

To tackle these issues, Shinka has developed a dedicated AI chatbot service that specializes in providing accurate responses and summaries based solely on user-specified materials.

Key Features and Benefits of KaiKura AI Knowledge


KaiKura AI Knowledge transforms internal documents into actionable knowledge, achieving a balance between reduction in information search efforts and the reliability of answers.

1. Accurate Responses Based on Specified Documents
The AI generates responses exclusively from the user-uploaded documents, including PDFs, texts, and Word files. Unlike generic AIs that may refer to uncertain external information, this service ensures a significantly low occurrence of hallucination, providing trustworthy information in line with internal regulations and manuals. The AI can also indicate which specific document and section were referenced in its responses.

2. Streamlined Summaries and Internal Inquiry Responses
Users can simply issue commands in the chat format, such as "summarize this lengthy manual into three main points" or "provide me with the application procedure for XX." The AI rapidly generates outputs, allowing users to engage in conversations with an "in-house assistant" who comprehends the document contents. This feature reduces the time spent checking vast amounts of materials and alleviates the burden of internal inquiries.

3. Integration with Customer Support History for Enhanced Quality
The service can operate independently, and in the future, it is set to seamlessly integrate with Shinka's AI communication integrated platform, KaiKura, incorporating text data from recorded calls and customer support histories. By feeding the AI past exemplary support interactions and talk scripts, the company anticipates a boost in training support for new staff and an overall enhancement of service quality.

About Shinka


Shinka, established on January 8, 2014, is located in the Hirose Building, 10th Floor, 3-17 Kanda Nishikicho, Chiyoda, Tokyo, 101-0054. With a capital of 397 million yen, the company focuses on system planning, development, and operation utilizing IT, cloud service product development and sales, and consulting on IT service utilization. Currently, Shinka employs 75 staff members as of December 2025. For more information, visit Shinka's official website.

Additional Information


For a deeper insight into Shinka's business strategy and growth potential, please check their IR note.


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Topics Business Technology)

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