AIBIZ (CEO Ha Seung-jae), a company specializing in AI (artificial intelligence)-based manufacturing process diagnosis, announced on the 25th that it recently registered four patents for core technologies for verifying consistency between process equipment and improving anomaly detection accuracy. These patents are technologies for ensuring data consistency between process equipment and maintaining the performance of AI diagnosis models. They are regarded as essential for monitoring multiple pieces of equipment simultaneously and for maintaining the accuracy of AI models. The registered patents are △a technology that maintains AI model accuracy based on real-time data updates △a method of automatically calibrating an AI model based on consistency checks △a technology for determining consistency between pieces of equipment using sensor minimum, maximum, and median values △a technology for verifying consistency between pieces of equipment using aligned time-series sensor data. According to the company, these technologies can be applied to high-precision manufacturing industries such as semiconductors, secondary batteries, and displays. The company explained that they synchronize the status of multiple pieces of equipment and detect performance deviations between tools early, allowing proactive response to quality issues that arise in actual mass production environments. AIBIZ is demonstrating these technologies in the field using its AI platform 'DutchBoy.' It has supplied the solution in on-device AI form to major semiconductor companies such as SEMES and DB HiTek. Ha Seung-jae, CEO of AIBIZ, said, "This patent registration is a result that recognizes both the originality and the applicability of AI technology that can solve real problems on manufacturing floors," adding, "We plan to continue expanding our patent portfolio and advance customized AI solutions for each industry." AIBIZ was recently finally selected for 'Micro DIPS,' part of the Ministry of SMEs and Startups' 'Super-Gap Startup 1000+' project. It plans to continue commercializing its advanced process diagnosis technology and to begin expanding in earnest into the global manufacturing market.