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/