Introducing Qast Clone
2026-07-21 00:50:04

New AI Service 'Qast Clone' to Inherit Veteran Judgment Criteria Launching This Fall

Announcing 'Qast Clone': A Breakthrough AI Service



This autumn, any Inc., based in Chiyoda, Tokyo, will unveil its latest innovation, 'Qast Clone.' This cutting-edge AI service aims to capture and sustain the unique judgment standards of veteran employees by constructing personalized knowledge clones. By analyzing audio recordings from internal meetings, documents, and conducting interviews, Qast Clone will help companies maintain and pass down their invaluable business wisdom.

With the rise of generative AI technology in recent years, various AI services designed to assist businesses have emerged. However, a prevalent issue is that most of these services rely on generalized knowledge from large language models (LLMs) and often fail to represent the unique decision-making criteria and know-how across different organizations and individuals. In the workplace, while manuals outline procedures, the underlying 'why' behind those decisions is often left unshared. Consequently, questions tend to pile up for veterans, which can hinder the growth of younger employees.

Through eight years of confronting knowledge management challenges in Japanese businesses, we have identified three crucial insights regarding tacit knowledge:
1. Much of the tacit knowledge actually consists of experience-based judgment standards.
2. Judgment criteria often emerge only in fragmented form through individual conversations and materials, making them difficult to systematize.
3. These criteria are especially articulated when individuals review others' outputs.

Based on these findings, we developed Qast Clone as a service that transforms unique corporate judgment standards into an asset for future generations.

How Qast Clone Works



Step 1: Creating Knowledge Clones (Human Support)


  • - Identify which department and individual to clone based on consultations.
  • - Extract decision-making criteria from past meeting minutes, audio recordings, and documents.
  • - If necessary, conduct interviews with individuals to fill any gaps in judgment criteria.

The gathered knowledge will serve as training data for the clones!

Step 2: Utilization of Knowledge Clones (Product)


  • - Engage with knowledge clones through a chat interface at any time.
  • - Upload design documents, blueprints, reports, and proposals, and the knowledge clone will suggest judgment criteria for review.
  • - The clone will provide not just feedback but also the reasoning and perspectives behind the judgments made.

Step 3: Cultivating Knowledge Clones (Product)


  • - Individuals will evaluate and adjust the reviews generated by their clones.
  • - Feedback from individuals will be integrated into the training data, improving the precision of the clone's reincarnation of the person's judgment standards through use and feedback.

Value Proposition of Qast Clone



For Young Employees: Improve Judgment and Growth Speed


  • - Instantly accessible advice, even in the absence of managers or veterans.
  • - Reduce waiting times for reviews and instances of back-and-forth with multiple checkers.
  • - Learning not just the corrections but also the reasoning can lead to more autonomous decision-making.

For Managers: Reduce Individual Instruction Burden


  • - Conduct initial reviews based on personal judgment standards, even when absent.
  • - Lower the burden of repetitive corrections in similar cases.
  • - Systematize their judgment criteria, enhancing the reproducibility of guidance and delegated authority.

For Senior Employees: Passing Knowledge to the Next Generation


  • - Learn judgment standards from other veteran employees.
  • - Systematize their judgment criteria, leading to faster output.
  • - Accumulate personal knowledge as organizational assets for future generations.

For Executives: Assetizing Corporate-Specific Judgment Criteria


  • - Prevent the loss of critical knowledge and judgment standards due to retirements or transfers.
  • - Enable organization-wide reuse of decision-making and quality standards that were previously dependent on individuals.
  • - Build a competitive advantage by accumulating one-of-a-kind corporate judgment standards as valuable knowledge assets.

Pre-Registration Now Open



Starting on July 21, 2026, businesses can pre-register for Qast Clone. The first ten registrants will receive special pricing for the knowledge clone construction, set to commence in September 2026.

  • - Pre-Registration Period: July 21, 2026 - August 31, 2026
  • - Knowledge Clone Construction Period: September - October 2026
  • - Target: The first ten companies that start construction in September 2026
  • - Benefits: Special pricing for early adopters and updates on product release information

For more information about prototype introductions and pricing plans, please check our contact details.

In addition to the knowledge management solutions provided through our AI platform 'Qast' and the upcoming 'Qast Clone,' any Inc. is committed to tackling knowledge management issue solutions for businesses.

About any Inc.


any Inc. is dedicated to harmonizing personal happiness with organizational benefits as its core purpose. Through knowledge management, we strive to generate new capabilities within organizations and contribute to a better society. Our platform 'Qast' has been offering automated classification and summarization of extensive internal documents for businesses. With now over 98,000 users across various industries, including manufacturing, construction, and retail, we continue to work towards the optimal solutions in knowledge management.

  • - Company Name: any Inc.
  • - CEO: Kazushi Yoshida
  • - Location: 2-2-1 Kanda Nishikicho, Chiyoda-ku, Tokyo, within KANDA SQUARE 11F WeWork
  • - Established: October 3, 2016
  • - Business: Design, Development, and Operation of 'Qast'
  • - Company Website: anyinc.jp
  • - Recruitment Page: careers.anyinc.jp
  • - Service Site: qast.jp
  • - Media Operations: qast.jp/media

Join us as we innovate and redefine knowledge management in the era of AI!


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Topics Consumer Technology)

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