Information
20 Banpo-daero 28-gil, Seocho District, Seoul, South Korea
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Overview
- Summary
- DAIM Research is a specialized company in logistics automation solutions based on AI and Digital Twin technologies. It provides logistics automation solutions to advanced manufacturing industries such as semiconductors, secondary batteries, automobiles, and flat panel displays, as well as traditional industries like mobile phones and mechanical/electronic components. The company builds a diverse product portfolio according to customer needs, including on-premise solutions and cloud-based software subscription solutions.DAIM Research is a specialized company in logistics automation solutions based on AI and Digital Twin technologies. It provides logistics automation solutions to advanced manufacturing industries such as semiconductors, secondary batteries, automobiles, and flat panel displays, as well as traditional industries like mobile phones and mechanical/electronic components. The company builds a diverse product portfolio according to customer needs, including on-premise solutions and cloud-based software subscription solutions.
- Key Products/Technologies
- Autonomous Factory Platform: A Full Life Cycle platform for the design, construction, and operation of autonomous/unmanned factories utilizing AI and Digital Twin technologies.Autonomous Factory Platform: A Full Life Cycle platform for the design, construction, and operation of autonomous/unmanned factories utilizing AI and Digital Twin technologies.
- xMS (Vehicle Management & Control System powered by AI): An integrated control solution for large-scale clustered manufacturing logistics robots (AGV, AMR, OHT) based on AI reinforcement learning, capable of controlling over 1,000 robots. It includes functions for optimal route selection, task assignment, collision avoidance, and waiting control for logistics robots, enhancing operational efficiency in manufacturing sites.xMS (Vehicle Management & Control System powered by AI): An integrated control solution for large-scale clustered manufacturing logistics robots (AGV, AMR, OHT) based on AI reinforcement learning, capable of controlling over 1,000 robots. It includes functions for optimal route selection, task assignment, collision avoidance, and waiting control for logistics robots, enhancing operational efficiency in manufacturing sites.
- xDT (AMHS Emulation & Simulation Platform): A solution that virtually simulates various logistics environments by mimicking hardware infrastructure essential for logistics robot systems. It supports highly accurate performance prediction before actual system construction and reliable design of logistics robot systems.xDT (AMHS Emulation & Simulation Platform): A solution that virtually simulates various logistics environments by mimicking hardware infrastructure essential for logistics robot systems. It supports highly accurate performance prediction before actual system construction and reliable design of logistics robot systems.
- AID (Vehicle Predictive Maintenance Solution powered by AI): A solution that continuously monitors the health status of logistics robots to maintain optimal condition. It utilizes AI technology for optimized status monitoring of individual robots and suggests pre-inspection times before abnormal events occur.AID (Vehicle Predictive Maintenance Solution powered by AI): A solution that continuously monitors the health status of logistics robots to maintain optimal condition. It utilizes AI technology for optimized status monitoring of individual robots and suggests pre-inspection times before abnormal events occur.
- LAY (Layout Analyzer): An automated solution for the design and analysis of logistics robot system layouts. It enables quick analysis of system performance based on equipment, layout type, material flow, and robot specifications, and facilitates easy layout creation using CAD files.LAY (Layout Analyzer): An automated solution for the design and analysis of logistics robot system layouts. It enables quick analysis of system performance based on equipment, layout type, material flow, and robot specifications, and facilitates easy layout creation using CAD files.
- Core Technologies: AI reinforcement learning-based 'Collaborative Intelligence®' control technology for large-scale logistics automation robots, IT solution architecture design technology for large-scale logistics system operation, integrated control technology for complex logistics robot systems (simultaneous use of OHT, Crane, AGV), AI-based pre-detection technology for moving object anomalies, and Physical AI technology.Core Technologies: AI reinforcement learning-based 'Collaborative Intelligence®' control technology for large-scale logistics automation robots, IT solution architecture design technology for large-scale logistics system operation, integrated control technology for complex logistics robot systems (simultaneous use of OHT, Crane, AGV), AI-based pre-detection technology for moving object anomalies, and Physical AI technology.
- Core Advantages
- Deep Tech Capabilities based on KAIST Research Institute: A deep tech company co-founded by KAIST Industrial and Systems Engineering professors and PhD researchers, possessing over 20 years of manufacturing automation experience combined with academic research know-how.Deep Tech Capabilities based on KAIST Research Institute: A deep tech company co-founded by KAIST Industrial and Systems Engineering professors and PhD researchers, possessing over 20 years of manufacturing automation experience combined with academic research know-how.
- Proprietary AI Reinforcement Learning and Digital Twin Technologies: World's first commercialization of an AI reinforcement learning-based integrated control solution for over 1,000 logistics robots. High-quality virtual simulation and accurate performance prediction capabilities through Digital Twin technology.Proprietary AI Reinforcement Learning and Digital Twin Technologies: World's first commercialization of an AI reinforcement learning-based integrated control solution for over 1,000 logistics robots. High-quality virtual simulation and accurate performance prediction capabilities through Digital Twin technology.
- Reduced Autonomous/Unmanned Factory Construction Time: The Autonomous Factory Platform significantly reduces existing autonomous factory construction time by approximately 70%. Physical AI-based robot logic and path design automation software shortens logistics path design from 3-4 weeks to just 3 hours.Reduced Autonomous/Unmanned Factory Construction Time: The Autonomous Factory Platform significantly reduces existing autonomous factory construction time by approximately 70%. Physical AI-based robot logic and path design automation software shortens logistics path design from 3-4 weeks to just 3 hours.
- Integrated Control of Heterogeneous Robots and System Optimization: Expertise in integrated control and management of various types of logistics robots (OHT, AGV, AMR) through a single platform. Achieved operational efficiency improvements such as a 32% reduction in logistics transport time, a 19% increase in logistics throughput, and a 20% decrease in required OHT units.Integrated Control of Heterogeneous Robots and System Optimization: Expertise in integrated control and management of various types of logistics robots (OHT, AGV, AMR) through a single platform. Achieved operational efficiency improvements such as a 32% reduction in logistics transport time, a 19% increase in logistics throughput, and a 20% decrease in required OHT units.
- Global Market and Advanced Industry References: Successful platform supply to approximately 30 global advanced manufacturing sites, including semiconductor, secondary battery, and flat panel display factories. Experience collaborating with major domestic and international companies such as Hyundai WIA, Samsung Electronics, Hyundai Motor, and Amorepacific.Global Market and Advanced Industry References: Successful platform supply to approximately 30 global advanced manufacturing sites, including semiconductor, secondary battery, and flat panel display factories. Experience collaborating with major domestic and international companies such as Hyundai WIA, Samsung Electronics, Hyundai Motor, and Amorepacific.
- Target Industrie
- SemiconductorSemiconductor
- Secondary BatterySecondary Battery
- AutomotiveAutomotive
- Flat Panel DisplayFlat Panel Display
- Mobile PhoneMobile Phone
- Mechanical/Electronic ComponentsMechanical/Electronic Components
- General Manufacturing LogisticsGeneral Manufacturing Logistics
- Major Markets
- South KoreaSouth Korea
- Europe (planned market entry)Europe (planned market entry)
- United States (planned R&D center establishment, planned market entry)United States (planned R&D center establishment, planned market entry)
- Certifications/Patents
- Patent: OHT Anomaly Detection Method, Apparatus, and System (Application No.: 1020210158408).Patent: OHT Anomaly Detection Method, Apparatus, and System (Application No.: 1020210158408).
- Patent: Digital Twin Monitoring and Prediction Method for Logistics Systems (Application No.: 1020210066670).Patent: Digital Twin Monitoring and Prediction Method for Logistics Systems (Application No.: 1020210066670).
- Patent: Dynamic Routing Method and Apparatus for OHT Systems (Application No.: 1020210017019, Registration Date 2022-05-27).Patent: Dynamic Routing Method and Apparatus for OHT Systems (Application No.: 1020210017019, Registration Date 2022-05-27).
- Patent: AI Collaborative Intelligence Algorithm Technology Patent Registration (Registration No.: 1024046950000).Patent: AI Collaborative Intelligence Algorithm Technology Patent Registration (Registration No.: 1024046950000).
- Certification: Corporate R&D Center (2021-05-21~).Certification: Corporate R&D Center (2021-05-21~).
- Certification: Venture Company (2020-11-17 ~ 2022-11-16).Certification: Venture Company (2020-11-17 ~ 2022-11-16).
- Award: 2nd Place at the 2025 INFORMS Analytics Conference Innovative Applications in Analytics Award (IAAA).Award: 2nd Place at the 2025 INFORMS Analytics Conference Innovative Applications in Analytics Award (IAAA).
- Award: Grand Prize at the 2022 Digital Innovation SW Contest.Award: Grand Prize at the 2022 Digital Innovation SW Contest.
- Award: Minister's Award from the Ministry of Science and ICT for Technology Commercialization in Research and Development Special Zones in 2024.Award: Minister's Award from the Ministry of Science and ICT for Technology Commercialization in Research and Development Special Zones in 2024.
- Selection: Selected for the '2024 Super Gap Startup 1000+ Project' organized by the Ministry of SMEs and Startups.Selection: Selected for the '2024 Super Gap Startup 1000+ Project' organized by the Ministry of SMEs and Startups.
- Selection: Selected as an excellent paper in the 2022 IEEE TSM International Journal of Semiconductor Manufacturing Operations.Selection: Selected as an excellent paper in the 2022 IEEE TSM International Journal of Semiconductor Manufacturing Operations.
- Selection: Selected as one of KAIST's Top 10 Technologies in 2019 (AI-based Smart Factory Solution).Selection: Selected as one of KAIST's Top 10 Technologies in 2019 (AI-based Smart Factory Solution).
- Selection: Selected for Google's support program.Selection: Selected for Google's support program.
Introduction
Location
20 Banpo-daero 28-gil, Seocho District, Seoul, South Korea
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