NAVER D2SF Invests in Industrial AI-based Smart Factory Solution Provider DAIM RESEARCH
NAVER D2SF Invests in Industrial AI-based Smart Factory Solution Provider DAIM RESEARCH
NAVER D2SF Invests in Industrial AI-based Smart Factory Solution Provider DAIM RESEARCH
- DAIM RESEARCH has successfully commercialized a solution that automates logistics flow between processes in manufacturing plants
- From original technology R&D to software development, the startup boasts technology competitiveness in AI reinforcement learning and digital twin technology
- Global companies in various fields are signing contract with DAIM RESEARCH, which has optimized technology for high-tech manufacturing industry and business feasibility
2022-03-16
NAVER D2 Startup Factory (D2SF) recently invested in DAIM RESEARCH, a startup that has developed an AI-based solution for automating production logistics.
DAIM RESEARCH’s solution automates the logistics flow between processes in manufacturing plants. It is a ‘collaborative intelligence’ solution that enables various robots in industrial fields to collaborate with the aim of maximizing work productivity. Previous solutions were not effective as they were too expensive to deploy as well as difficult to maintain and repair. DAIM RESEARCH resolved the previous issues with its advanced technologies including AI-reinforced learning and digital twins, resulting in the successful commercialization of its intelligent solution.
DAIM RESEARCH’s solution enables logistics robots to recognize and respond to process changes and environmental fluctuations by using AI reinforcement learning technology, which minimizes maintenance and repair costs. Combined with its own digital twin technology, the solution can create and learn high-quality virtual scenarios to achieve excellent performance with limited data.
DAIM RESEARCH is targeting high-tech manufacturing industries, such as semiconductors, displays and rechargeable batteries, and has proven its competitiveness by signing formal contracts with global companies in various fields. By using AI reinforcement learning and digital twin technology, the company introduced the world’s first integrated control solution for logistics robots with a volume of 1,000 units. The application of this solution in a semiconductor factory has also significantly improved vital indicators, such as maximum logistics throughput and average logistics transportation time. Based on this commercialization experience, DAIM RESEARCH plans to establish itself as the leader of secondary battery factory automation by the first half of 2022 and enter the U.S. and European markets later this year.
“The need for automation of manufacturing logistics is soaring worldwide, and investment in related facilities is expanding at a fast pace, especially in high-tech industries. Although it is a difficult industry for startups to enter, DAIM RESEARCH has proven its technology competitiveness and business feasibility by generating revenue based on its AI and digital twin technology,” said Yang Sang-hwan, leader of NAVER D2 Startup Factory.
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