DAIM Research is leading the development of AI-driven autonomous manufacturing solutions that go beyond the limitations of conventional automation by combining AI and digital twin technologies. The company uses AI to integrate and control diverse logistics robots that are difficult to manage due to system compatibility issues, identifying optimal routes to resolve operational deadlocks and maximize productivity. In particular, its multi-robot control technology, covering OHTs, AMRs, and AGVs, together with digital twin-based virtual simulation, has significantly shortened system implementation timelines.

Building on these capabilities, DAIM Research is rapidly expanding its track record beyond advanced industries such as semiconductors and electric vehicles to mid-sized manufacturers seeking to advance their smart factories. CEO Youngjae Jang is building an autonomous manufacturing ecosystem that uses data analytics to address labor shortages and declining productivity in manufacturing. Through AI software tailored to industrial environments, DAIM Research plans to support companies' digital transformation and establish itself as a leading player in the global autonomous manufacturing market.