We will be exhibiting at "CEATEC 2026" from October 13 to 16 | Awarded the "Innovation Award" at CEATEC AWARD 2026 (iCrystal)

Processing accuracy that allows for the omission of post-processing, exceeding the target! A case that demonstrates the value of collaboration between AI and humans!

In power semiconductors like GaN, even the slightest roughness on the nanometer scale (one-millionth of a millimeter) can affect performance, making crystal processing after creating the cylinder essential in traditional methods. To find appropriate experimental conditions, at least two sets of conditions must be tested for each factor just to observe trends. Therefore, for five factors, a minimum of 32 experiments is required. Based on those trends, dozens of experimental conditions are tested to find the combination of factors that leads to the desired results. As a result, traditional optimization methods centered on experiments required a significant number of trials. In contrast, the approach taken by Aicrystal, which learns from results, explores, and suggests conditions, was able to reduce the number of experiments to just 19. Moreover, this approach achieved a level of processing precision that allowed for the omission of subsequent processes, and the benefits of not needing additional capital investment are significant. The conditions deemed appropriate in this case were combinations that had never been tried by engineers, illustrating the value of collaboration between AI and humans. *For more details, please refer to the PDF document or feel free to contact us.*

• Scientific Calculation and Simulation Software
• others

Significantly reduce calculation time! Introducing case studies of process informatics!

"GaN (gallium nitride)" is a power semiconductor that is expected to be adopted as a power source for 5G base stations. It is commonly used as a thin sliced disk wafer, but the initial manufacturing state is cylindrical. The GaN cylinder emits gas, which serves as the raw material for GaN, from holes at the bottom, allowing the crystals to grow. In reality, there are over 100 holes, leading to infinite combinations. When simulating this, it takes an astonishing 6 hours for just one condition. If you run 1000 variations, it consumes 6000 hours, which equals 250 days, taking a significant amount of time. This is where "Process Informatics" from AICrystal comes into play. By training AI with the results of 1000 randomly generated simulations, the calculation time is drastically reduced. The time required is just 1 second per condition. Thanks to the significant reduction in calculation time enabled by AI, it is now possible to compute 10,000 conditions in just about 3 hours. This optimization allows for the gas conditions and hole arrangements to be fine-tuned, successfully tripling the growth rate. *For more details, please refer to the PDF document or feel free to contact us.*

• Scientific Calculation and Simulation Software
• others

This is a notice for the rebroadcast of the co-hosted seminar with Live Consulting Co., Ltd. held on September 11 and 15, 2026. "The New AI Tools Are No Longer Needed" This seminar allows participants to experience Microsoft Copilot, which can be used directly within familiar Word, Excel, and Teams, through a demonstration of actual operating screens. The answers are already within your existing Microsoft 365. You can use AI directly in Word, Excel, and Teams without the need for additional tool selection, all within the security framework of M365. We will explain the basics to practical applications of Copilot in 90 minutes, aimed at executives and managers in the manufacturing industry. We sincerely look forward to your participation. 【Recommended for】 - Executives and managers in the manufacturing industry who have not yet mastered generative AI/Copilot - Those considering AI implementation but are stalled due to tool selection, security, or promotion systems - Those who prefer to see "actual screens" rather than just "reading" before making a decision - Those who are concerned about security and cannot use ChatGPT in their company

We will be exhibiting at "CEATEC 2026," which will be held at Makuhari Messe from October 13 to 16. We provide information technology and process informatics (PI) that optimize "how to create" using physical simulations, AI, and machine learning in process development. We look forward to your visit to our booth. 【Seminar Information】 "Process Informatics for Exploring Optimal Manufacturing Conditions" Date and Time: October 16, 2026 (Friday) 12:45 - 13:00 Venue: Makuhari Messe Exhibition Hall 4 P Stage Speaker: CEO Takaishi Please check the link below for details on our exhibition.

In recent years, weather risks that affect construction sites, such as localized heavy rain, strong winds, and extreme heat, have been increasing. In response to this situation, more companies are implementing weather information services at the company or branch level to manage weather risks across multiple sites collectively. On the other hand, is there a challenge where "the company checks weather information, but it is not used much on-site"? To implement weather measures across the entire company, it is important not only for managers to easily grasp multiple sites but also for the personnel working on-site to be able to easily check the information necessary for their specific site. We are releasing a new feature called "Field View." For more details, please visit our website.

In recent years, weather risks such as localized heavy rain, strong winds, and extreme heat that affect construction sites have been increasing. In response to this situation, more companies are adopting weather information services at the company or branch level to manage weather risks across multiple sites collectively. On the other hand, is there a challenge where "the company checks weather information, but it is not used much on-site"? To implement weather measures across the entire company, it is important not only for managers to easily grasp multiple sites but also for the personnel working on-site to be able to easily check the information necessary for their specific site. We are releasing a new feature called "Field View." For more details, please visit our website.

In recent years, weather risks such as localized heavy rain, strong winds, and extreme heat that affect construction sites have been increasing. In response to this situation, more companies are introducing weather information services at the company or branch level to collectively manage weather risks across multiple sites. On the other hand, is there a challenge where "the company checks weather information, but it is not used much on-site"? To implement weather measures across the entire company, it is important not only for managers to easily grasp multiple sites but also for the personnel actually working on-site to be able to easily check the information necessary for their specific site. We are releasing a new feature called "Field View." For more details, please visit our website.