アイクリスタル Company Overview

We will be exhibiting at "TECHNO FRONTIER 2026," which will be held at Tokyo Big Sight from July 15 to July 17. Additionally, our representative, Takaishi, will be giving a 50-minute seminar. The program will provide a thorough understanding of the possibilities and applications of process informatics, based on case studies. We look forward to your visit and to welcoming you to our booth. <Seminar Information> "Exploring Optimal Manufacturing Conditions through Process Informatics" Date and Time: July 15, 2026 (Wednesday) 13:20-14:10 Speaker: CEO Takaishi Please check the link below for details about our exhibition.

We are pleased to announce a real seminar that brings you the forefront of AI utilization in the manufacturing industry. In this seminar, we will provide detailed explanations of practical case studies on "Process Informatics (PI)" that achieves optimization of manufacturing processes and "Data Analysis Infrastructure using Generative AI" that innovates R&D planning. ■ Recommended for: - Heads and personnel in the R&D and research development departments of the manufacturing industry - Those focused on optimizing production technology and manufacturing processes, and solving on-site challenges - Those who want to know how to leverage generative AI and data analysis for advanced practical applications (such as paper analysis) ■ Benefits of this seminar: - Understand specific methods to dramatically enhance and streamline the investigation of vast patents and papers using "Generative AI" - Learn real case studies that have overcome challenges in development and mass production using Process Informatics (PI) ■ Program: - Yusaku Asano, Linkers Inc. "Data Infrastructure that Unleashes the Investigative Power of Generative AI - The Capability of 'Comprehensive Analysis' of Papers and Patents" - Masaki Takaishi, CEO of iCrystal Inc. "Solving Current Challenges in Manufacturing Development and Mass Production Processes through the Utilization of Process Informatics" - Networking session

We would like to invite you to a real seminar that reexamines the concept of manufacturing conditions from the perspective of "how to create." In this seminar, we will focus on "casting" and "CAE," and introduce examples of visualizing and predicting manufacturing conditions using data. ■ Recommended for: - Those struggling with data utilization in manufacturing sites or dealing with variability in defective products - Those looking to further streamline simulation and design tasks - Those interested in specific examples of applying AI and machine learning in manufacturing ■ Program: 1. Opening: Introduction of recent project examples 2. Casting Process: Analytical approaches to capturing "variability" 3. Surrogate Models: Introduction of CAE × machine learning examples 4. Free Discussion: Q&A and consultation on data utilization challenges