History
Since 2020
-
2026
- CEO Young Jae Jang awarded the Hongjo Order of Service Merit by the Government of Korea (for his contributions to AI-driven manufacturing and national manufacturing innovation)
- Built and commissioned KAIST Physical AI Testbed
-
2025
- Secured KRW 22B Series B funding (Atinum Investment, Stonebridge Ventures, Company K Partners)
- Signed a business partnership with Hyundai WIA for robot orchestration solutions
-
Received 2nd Place at the 2025 INFORMS Analytics Conference - The Autonomous
Factory with Digital
Twin and Reinforcement Learning for Intelligent Operations and Efficiency - Established DAIM Technology USA
-
2024
- Selected as one of Korea's Top 1,000 Super Gap Startups (Ministry of SMEs and Startups)
- Received the Minister of Science and ICT Award for Technology Commercialization (2023 R&D Special Zone Technology Commercialization Awards)
-
Launched xMS (Fleet Management), xDT (Digital Twin Solution), and AID (AI-based
maintenance specialized
for OHTs, AGVs, and AMRs)
-
2023
- Received the 2022 IEEE TSM 'Best Paper Honorable Mention' (Autonomous Production Systems)
- Successfully orchestrated 3,000+ AMRs
- Deployed AI-powered AGV-AMR orchestration for the secondary battery industry
-
2022
- Secured KRW 11B Series A funding (Atinum Investment, Stonebridge, POSCO Technology Investment)
- Received the Minister of Science and ICT Award at CDE DX Awards
- Signed an MOU with POSCO DX for collaborative robot control system development
- Deployed an OHT orchestration solution for a wafer manufacturing facility
-
2021
- Secured KRW 2B Pre-Series A funding (Naver, Stonebridge, Company K Partners, KAIST Entrepreneurship Foundation)
-
2020
- Selected as one of KAIST's Top 10 Research Achievements (2019) - Deep Reinforcement Learning (Deep Q-learning)-Based Smart Factory Solution
- Founded DAIM Research, a KAIST spin-off
-
2019
- Successfully deployed at LG Display
- Secured KRW 2B LG CNS AI & Big Data Research Center project
-
2018
- Secured KRW 2B Synus Tech–KAIST Research Center project
-
2017
- Completed a prototype AI-powered automation system for semiconductor, LCD, and OLED manufacturing
- Selected as an outstanding paper at an international conference for an AI-based logistics transport collaboration system
-
2016
- Initiated AI research on semiconductor and display manufacturing automation at Professor Young Jae Jang's laboratory, KAIST
