A subsidiary of Pole To Win Holdings, Inc., (Headquarters: Shinjuku Ward, Tokyo; President & CEO: Teppei Tachibana; Stock Code: 3657) Pole To Win, Inc. (Headquarters: Nagoya City, Aichi Prefecture; President & CEO: Teppei Tachibana; COO: Kazuaki Shimura; hereinafter referred to as PTW) is a company that helps resolve clients' issues throughout the service lifecycle, is pleased to announce that it has developed and begun internal use of a fully automated end-to-end (E2E) test design system utilizing generative AI.

This proprietary system is designed specifically for software testing operations. By leveraging generative AI to analyze system code and automatically generate comprehensive E2E test designs, it represents a groundbreaking solution that introduces a new option to the market. By automating test design--a process that traditionally required significant time from specialized engineers--this system can dramatically improve productivity in software development. In recent years, the widespread adoption of agile development and generative AI has rapidly shortened development cycles. At the same time, balancing speed and precision in quality assurance has become a major challenge. This technology holds the potential to fundamentally transform that bottleneck.

Building on its extensive expertise in game debugging and software testing, PTW has developed this system to create an environment where test engineers can focus on more creative and value-added tasks.End-to-End (E2E) testing refers to the process of verifying the entire system flow from the user's perspective. Unlike unit or integration testing, which target individual functions or components, E2E testing ensures that the system operates correctly across actual business workflows and usage scenarios.

↑Actual Interface of the Fully Automated Test Design System Powered by Generative AI

A detailed walkthrough by the lead developer, featuring the actual system interface, is available at the link below:(walkthrough is provided in Japanese)
Demo Video: https://youtu.be/dqqxLJ2lzWQ

About the Generative AI-Powered Automated Test Design System

Key Features
1. Dynamic Test Design Automatically Generated via AI-Based Code Analysis
The system automatically generates end-to-end (E2E) test cases by analyzing the source code of the target system. It dynamically optimizes test coverage by incorporating scenario branches and exception handling.

↑System-Generated Screen Transition Diagram Using Generative AI

2. Support for Exploratory Test Design
In addition to traditional script-based testing, the system also supports exploratory test pattern design. The AI assists in identifying unknown behaviors and potential risks, enabling more adaptive and insightful testing approaches.

3. Flexibility to Support Both Manual and Automated Testing
The system supports both the generation of test design documents for manual testing and the creation of test scripts for automated testing. This dual capability enables seamless integration into existing QA workflows.

↑System-Generated Test Case Specification for Manual Testing

Technical Positioning

This AI system distinguishes itself by fully automating everything from system code analysis to exploratory test design--an area where many existing E2E test design tools are limited to generating predefined scenarios. Furthermore, while most conventional automated test design tools are intended for use within proprietary platforms, PTW's system stands out by being developed as a practical, general-purpose solution. This makes it highly versatile and sets it apart from many other systems currently available in the market.

Furthermore, in a comparative evaluation conducted under identical conditions across various general-purpose generative AI models, PTW's system automatically generated 251 test cases, significantly outperforming other models, which typically produces only a few dozen.This result clearly demonstrates that the tool, powered by a proprietary AI model specialized in test design, offers a new approach that enables more precise and practical test case generation.

↑Comparison Results Under Identical Conditions in PTW's Internal Test Environment (As of October 20, 2025, based on PTW's internal research)

Future Outlook

The system is scheduled to support test code generation and correction functions this winter. With this enhancement, the AI will be able to not only design test cases but also automatically generate and refine test code, further streamlining the entire testing process.Through the operational use of this system, we aim to shorten lead times from test design to execution and optimize the quality assurance process, thereby providing our clients with faster and higher-quality verification services. PTW will continue to create new value in our clients' development environments by leveraging AI to achieve both increased productivity and enhanced quality.

Masayuki Kubo, Vice President of AI Strategy (VPoAIS)

This system is the result of combining PTW's extensive expertise in test design, cultivated over many years, with the latest generative AI technologies. Our goal was to challenge the automation of "thinking" within the testing process, and to explore a new approach where AI complements human experience and intuition in test design. In actual operational use, we have seen a significant reduction in lead time from test design to execution, along with improved test case coverage. As a result, we are increasingly able to deliver verification services to our clients that balance both quality and speed.Looking ahead, we aim not only to improve efficiency through AI, but also to create an environment where test engineers can focus on more creative and high-value testing activities. Through this, we will continue to deliver new value to our clients' development teams.

Masayuki Kubo - Vice President of AI Strategy (VPoAIS) / Head of Advanced Technology Laboratory, Pole To Win, Inc.
Masayuki Kubo serves as Vice President of AI Strategy (VPoAIS) and Head of the Advanced Technology Laboratory at PTW. He holds a Master's degree in International Business from Waseda University Graduate School. After working at Fujitsu, NTT Data, Yahoo, and Microsoft, he founded his own company. Following leadership roles in strategic divisions across multiple organizations, he joined PTW in 2023. Currently, he is responsible for company-wide AI strategy and new business development initiatives.
 

About PTW

PTW is a company specializing in IT services, including game debugging, software testing, and internet support. The company launched its game debugging business in 1994 and achieved an 800% growth rate within its first five years. Since then, it has continued to lead the industry as a pioneer in game debugging. In February 2022, PTW merged with its group companies, marking a new chapter in its journey. These include PITCREW CO., LTD., which supported a wide range of web services through e-commerce fraud prevention and customer support, and QaaS Inc., which contributed to resolving software issues through testing and quality consulting. With a strong track record in the gaming and e-commerce industries, PTW has consistently worked to solve diverse client challenges. Leveraging the knowledge, expertise, and diverse talent cultivated through these efforts, the company remains committed to enhancing the quality and value of services and products across society.

<Company Overview>

Company Name: Pole To Win, Inc.
Head Office: 1-5-9 Imaike, Chikusa-ku, Nagoya, Aichi, Japan
Representative Directors: Teppei Tachibana (CEO), Kazuaki Shimura (COO)
Business Activities: Debugging, Internet Support, Software Testing
Established: January 20, 1994
Corporate Website: https://www.ptw.inc/
Service Website: https://www.service.ptw.inc/
Note: https://note.com/ptw_note
Official X (formerly Twitter): https://x.com/Pole_To_Win_

For Media Inquiries
Pole To Win, Inc. (Public Relations Contacts): Takatsu / Onishi
Email: pr@ptw.inc