On February 14, 2025, TIGEREYE (hereinafter “TIGEREYE”) and GENZ (hereinafter “GENZ”) announced a new testing service that supports quality improvement for AI systems. The service combines TIGEREYE’s advanced algorithm technology with GENZ’s extensive industry experience, with the aim of identifying and analyzing AI-specific risks while maximizing system safety and performance. To help build more accurate and reliable AI systems as AI technology evolves, the two companies will draw on their expertise to provide a comprehensive testing solution.
About the service
Taking AI solutions to the next level with TIGEREYE’s technology and GENZ’s experience
AI systems depend on complex algorithms and huge amounts of data, and they face a variety of risks that affect accuracy and reliability. These risks, such as data bias, incorrect learning patterns, and security vulnerabilities, can lead to degraded system performance and serious errors. By combining TIGEREYE, a company with cutting-edge algorithms and advanced analytics technology, with GENZ’s extensive experience and industry knowledge, we provide optimal and effective testing strategies specialized for AI systems.
Total support to protect AI safety and quality
Developing AI systems comes with its own risks and challenges. Through consulting and testing specialized for AI, TIGEREYE and GENZ provide comprehensive support to ensure system quality and safety.
- Total support to protect
AI safety and quality
We clarify the purpose and value of the AI system and optimize the outputs and performance metrics of AI models. We identify potential risks during development and propose specific countermeasures. - AI-specialized
testing service
We develop a testing strategy based on the characteristics of the AI model and the project’s requirements, and verify the performance and safety of the entire system. We flexibly apply methods suited to AI systems, such as regression testing, classification testing, and black-box testing, to increase reliability.
GENZ’s strengths: three reasons customers choose GENZ
1. A proprietary AI quality assurance framework that covers every phase
- AI systems carry a variety of risks in each phase of development. In each phase, such as requirements definition, design, and implementation, issues such as data bias, incorrect learning patterns, and security vulnerabilities can arise and affect the system’s accuracy and reliability.
GENZ provides a proprietary AI quality assurance framework that covers every phase, designing and executing a testing strategy suited to each phase to consistently improve system quality.
This makes it possible to manage the complex risks of AI systems effectively and achieve reliable operation. 
2. Flexible, fast response from a dedicated AI team
- GENZ’s dedicated AI team draws on extensive experience specializing in system testing and vulnerability assessment to support machine learning model testing from start to finish.
The team proposes the testing methods and vulnerability assessments best suited to the customer’s business requirements, minimizing risk throughout the development process.
Its flexible, fast response makes effective use of resources and optimizes the balance of quality, cost, and delivery time. 
3. An extensive track record and high customer satisfaction
- GENZ has an extensive track record across a wide range of industries, from startups to enterprises.
It has provided quality assurance for entire systems, including AI, in a variety of fields such as healthcare, web applications, and payment services.
In particular, it conducts multifaceted evaluations of system safety and performance and has built long-term partnerships with many clients.
GENZ constantly works to master new technologies and continues to provide solutions that keep up with the latest technology.
To read what customers who have used GENZ’s services say, please see this page 
Benefits of adopting the service
- Stronger system reliability
and stability
Adopting the AI testing service improves the reliability and stability of the entire system. Rigorous testing verifies the accuracy and consistency of AI models and prevents problems in operation before they occur. This enables stable operation of the system over the long term. - Higher customer satisfaction
and brand trust
Providing a high-quality AI system improves the user experience. When the system meets users’ expectations, customer satisfaction rises and brand trust is strengthened. This in turn makes the business more competitive. - Reduced
business risk
The service reduces the business risks that come with system defects and insufficient performance. By identifying potential problems early and carrying out an efficient testing strategy, it delivers a high-quality system while keeping costs down.
The testing process for AI systems
Requirements definition and interviews
In the first step, we confirm the AI system’s requirements together with the customer and ask about the project’s scale, goals, and schedule. As needed, we also examine in detail how the AI system will be used and the results expected from it.
▼
Risk analysis and test planning
Based on what we learned in the interviews, we analyze the risks of the entire system and consider ways to avoid risks based on the characteristics of the AI model. We then create a specific test plan and decide on the test perspectives and items.
▼
Test design and environment preparation
Based on the test plan, we design the tests and organize the necessary test items. We also prepare the equipment and environment needed to run the tests. If special equipment is required, we coordinate with the customer in advance to make sure everything is fully prepared.
▼
Test execution and defect reporting
We test the AI system based on the defined test items. We promptly report any defects found, with evidence, and help the development team respond efficiently.
▼
Defect fixes and retesting
After the reported defects are fixed, we run the tests again to confirm that the fixes have been applied correctly. This further improves the quality of the system.
▼
Results report and delivery
When testing is complete, we prepare and deliver a report that summarizes the results in detail. The report includes what was tested, details of defects, and suggestions for improvement, and is structured to help customers easily understand the state of their system.
For details about the service, please feel free to contact us
Start by telling us about the challenges you want to solve with AI
Toward workplaces where AI is simply part of everyday work.