AI-First Business Support Platform —The Beyond, Made Real

Next-generation business platform with AI at its core Executes a wide range of tasks, from personnel training to practical operational support.

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AI chat app Kanata AI

Learning & training app Kanata Learning

OVERVIEW

Kanata's Vision of the Future

Kanata begins with staff development, adapts to versatile practical tasks, and connects to operational efficiency/enhanced safety through continuous improvement, powerfully supporting the entire workflow within business environments. By closely integrating with the latest AI technologies (such as LLM) and an abundance of practical features, it realises the ideal environment that once seemed beyond reach. Kanata redefines corporate growth and operational efficiency.

EXPERIENCE

Kanata Apps × LLM: Delivering an Anticipated 400% Enhancement in Workplace Experience

Kanata projects launched for specific business purposes or teams

Within Kanata's organisational spaces, projects tailored to specific objectives are created. By combining and utilising various applications within these projects, operational efficiency is enhanced. Kanata enables the creation of projects such as "Kanata AI for general-purpose generative AI (LLM) business support" and "Kanata Learning for personnel development and internal training".

AI chat app

Leveraging general-purpose generative AI to support a wide range of business operations.

Learning & training app

Specialised for learning purposes such as personnel, and in-house training.

* Future updates will include the deployment of security apps and marketplaces.

Application integration via MCP

MCP (Model Context Protocol) is a protocol (common specification) designed to securely and uniformly connect AI models with external data, tools, and services.

Whilst each of these tools—LMS, internal chat, document creation tools, and summarisation tools—may be convenient business applications in their own right, the more numerous they become, the greater the challenge of accumulating operational fragmentation.

The conversation flows but then just ends
"No insights remain"

Training was conducted
but it has not taken root in the workplace.

Deliverables scattered about
"Unusable for reuse"

Each team has a different approach,
making it difficult to replicate across the board.

To address these challenges, Kanata is built upon the MCP framework, a set of standard rules for integrating applications within a project. This enables secure and flexible application integration, preventing operational silos.

Assetisation of operational content

All content generated within various applications—be it discussions in chats, summaries, teaching materials, or test designs—can be referenced and reused later. Kanata is designed with the philosophy that the more daily work progresses, the greater the organisation's usable assets become.

Reduction in search time

The time spent searching for documents and information is reduced, allowing you to access the necessary information immediately.

Elimination of personalisation

The handover of duties shifts from 'explanation' to 'reference', thereby eliminating dependency on specific individuals.

Improving the reproducibility of results

Best practices in practical work are reused, enhancing the reproducibility of results.

Business Asset Management System

Prompt Library

Useful AI prompts can be stored and shared within the team or project, enabling others to reap the rewards of powerful prompting.
AI Library

Manage multiple AI datasets specialised for specific tasks such as in-house QA, and planning document creation.
e-learning app

Automatically generate teaching materials from uploaded videos and register them as fields within learning content.