Scaling Supervision Systems with AI ~ AIPEX to Speak at CBLA-Hosted Seminar on April 17 ~

Atsushi Oshiro, Representative Director of AIPEX Inc. (Headquarters: Minato-ku, Tokyo; Representative Director: Atsushi Oshiro), will speak at a seminar hosted by the Digital Subcommittee of the Character Brand Licensing Association (CBLA). In this seminar, amidst the accelerating diversification and globalization of the IP business, he will analyze the current situation where person-dependent supervision systems are becoming an obstacle to growth. He will then explain how to build a "scalable supervision system" through generative AI and overall optimization of the supervision workflow.

Event Overview

■ Title: Before Design Supervision Becomes a Growth Bottleneck: Towards a "Scalable Supervision System" with Generative AI x Overall Optimization

■ Date & Time: April 17, 2026 (Friday) 16:00 - 17:00 (Doors open at 15:45)

■ Format: Hybrid (In-person + Online)

■ Host: Digital Subcommittee of the Character Brand Licensing Association (CBLA)

■ In-person Venue: ADEX Nihon Keizai Advertising Inc. B1F Main Conference Room

*A participation URL will be issued the day before for online participants.

*Capacity: In-person / 60 people, Online / 100 people. Each on a first-come, first-served basis.

■ Speaker: Atsushi Oshiro, Representative Director, AIPEX Inc.

■ Moderator: CBLA Director Kondo

Program

1. Why Supervision DX Now? — Current Challenges in Supervision Operations

2. Previous Efficiency Approaches and Their Limitations

3. Concept of Overall Optimization of Supervision Workflow and Integration Points for Generative AI

4. Introduction & Demo of AIPEX

Participation Application

We welcome all those who are considering efficiency improvements and scaling of design supervision tasks in IP business, and those interested in utilizing generative AI. The content is practical and useful not only for IP holders but also for those involved in product planning, advertising, and licensing.

To apply for this seminar, please use the URL provided by the CBLA secretariat below.
(Non-CBLA members are also welcome to participate)

Application URL:https://pro.form-mailer.jp/fms/61e89935340602

Seminar Background

As IP business diversifies and globalizes, supervision sites face a quadruple burden: increased production volume, expanded scope of対応領域, tacit knowledge of supervision standards, and personnel shortages. If the system remains person-dependent, supervision becomes a bottleneck, and quality fluctuations due to operational burden directly lead to a decline in brand value.

This seminar will provide an overview of the entire supervision workflow, from request to check, feedback, re-submission, approval, and evidence storage. It will organize the concept of overall optimization and the integration points for generative AI, explaining how to create a scalable supervision system.

Speaker: Atsushi Oshiro, Representative Director, AIPEX Inc.

About AIPEX Inc.

AIPEX Inc. is a startup that develops and provides a platform to automate and optimize design supervision tasks in the IP business using AI.

Problems Solved:

Increased production volume, expanded scope of対応領域 due to globalization, tacit knowledge of supervision standards, and personnel shortages lead to a concentrated burden on supervision staff. Inefficient supervision workflows scattered across emails, chats, and spreadsheets result in inconsistent brand quality and staff exhaustion.

Main Features of the Supervision Platform "AIPEX":

• Semi-automation of supervision tasks with AI
  The AI automatically cross-references submitted creations with pre-registered character guidelines and past supervision data, pointing out potentially violating areas. This frees staff from simple checking tasks, allowing them to focus on creative work such as planning new projects.

• Centralized management of supervision requests and visualization of processes
  Supervision requests and related information, which tend to be scattered across emails and file servers, are centrally managed on the "AIPEX" platform. Progress status of projects and past communications can be instantly grasped, preventing task omissions and communication loss.

• Standardization of supervision quality through accumulation and learning of cases
  "AIPEX" continuously accumulates and learns from supervision cases, absorbing and standardizing tacit knowledge from the field not explicitly stated in guidelines, and variations in judgment among staff. This ensures consistent supervision quality regardless of staff experience, protecting brand value.

"AIPEX" is a platform that evolves with feedback from the field. Companies facing challenges in supervision efficiency or operational setup are encouraged to contact us via the inquiry form.

【Company Profile】

Company Name: AIPEX Inc.

Representative: Atsushi Oshiro, Representative Director

Location: ANOBASHO, 5F Growth Toranomon, 2-2-1 Toranomon, Minato-ku, Tokyo

Date of Establishment: July 18, 2025

Business Activities: Development and operation of "AIPEX," an AI platform for efficient IP supervision

Corporate Website:https://aipex.co.jp/

The information contained in this press release is current as of the announcement date. Specifications, service content, contact information, etc., are subject to change without prior notice. Please be aware of this in advance.