Daim Research
Category: Robotics / Embodied AI
Daim Research provides a 'Physical AI' and robot brain solution that orchestrates large-scale autonomous robot fleets for high-tech manufacturing and logistics sectors. Daim Research was founded in 2020. The company is led by Young-Jae Jang. Based in Seoul, South Korea. Team size: 50-100. Total funding raised: $25.4M. Latest round: Series B. Key investors include ["Atinum Investment","Stonebridge Ventures","Company K Partners","Naver D2SF","Korea Eximbank","KAIST Venture"].
- Founded
- 2020
- Headquarters
- Seoul, South Korea
- Team size
- 50-100
- Total funding
- $25.4M
Value proposition
Optimizes robot fleet efficiency by solving complex coordination challenges, reducing robot path design time, and lowering investment costs.
Products and solutions
["xMS (Integrated Fleet Management System)","xDT (Digital Twin Solution)","AID (AI-based Maintenance & Diagnostics)","Robot Collaboration Intelligence"]
Unique value
Utilizes advanced Reinforcement Learning (RL) to manage thousands of robots simultaneously in real-time.
Target customer
Global semiconductor manufacturers, secondary battery producers, automotive companies.
Industries served
["Semiconductors","Secondary Batteries (EV)","Automotive","Logistics & Warehousing"]
Technology advantage
Focuses on 'Physical AI'—solving NP-hard problems of multi-agent pathfinding in environments with over 3,000 robots.
How they differentiate
Differentiated by 'Physical AI' approach using deep reinforcement learning for massive fleets (3,000+ robots).
Main competitors
["Meili FMS","Motion2AI","Floatic","Swisslog"]
Key partnerships
["Hyundai Wia","KAIST"]
Notable customers
["Hyundai Wia","Global Semiconductor Manufacturer","Leading EV Battery Producer"]
Major milestones
["Founded in 2020","Large-scale commercial OHT deployment in 2021","Series A in 2022","Series B in 2025"]
Growth metrics
Expanded orchestration capacity to manage over 3,000 robots simultaneously.
Market positioning
Tier-1 industrial 'Robot Brain' provider for high-precision manufacturing.
Geographic focus
South Korea, North America, Southeast Asia
Patents and IP
Holds over 10 registered patents in Korea related to AI+Digital Twin-based manufacturing operating systems.
About Young-Jae Jang
Young-Jae Jang is a Professor of Industrial and Systems Engineering at KAIST and a leading expert in smart manufacturing. Before founding Daim Research, he was a Project Manager at Micron Technology in the USA, where he managed semiconductor manufacturing and supply chain projects. He holds a Ph.D. and an M.S. in Mechanical Engineering from MIT and a B.S. from Yonsei University.
Official website: https://www.daimresearch.com/