JEJU — Klobot (466100.KQ), a robot software company, laid out a plan to become one of the world's top five robot solutions providers on the strength of its technology for integrated control of robots from multiple manufacturers. The company intends to expand beyond autonomous driving and fleet management into logistics automation and humanoid robots, and to capture an early lead in the physical AI market with integrated solutions that link artificial intelligence with robots and industrial equipment.
Son Jun-bae, president and chief operating officer of Klobot, spoke at a press briefing held at Lotte Hotel Jeju on the 21st during the 2026 Small and Medium Enterprise Leaders Forum. "Klobot is a company that builds software to help robots improve productivity and efficiency at actual industrial sites," Son said. "Robots are spreading rapidly not only into logistics centers but also into manufacturing and mobility, and our goal is to seize that opportunity and become a global top five robot solutions provider."
Klobot is a robotics specialist that deploys and operates robots from various manufacturers in line with each customer's environment, built on CHAMELEON, its in-house general-purpose autonomous driving solution, and CROMS, a platform for integrated control of heterogeneous robots. Rather than simply supplying robots, the company runs a robot solutions business spanning site-specific service planning, system construction, integrated operation and maintenance. It listed on the KOSDAQ in October 2024 and posted revenue of 41.4 billion won ($28.9 million) last year, with an operating loss of 3.2 billion won.
Klobot also works with global robot makers including Boston Dynamics and Unitree. Boston Dynamics' quadruped robot Spot is being used, through the partnership with Klobot, to patrol hazardous facilities such as power plants and inspect equipment. Using cameras and sensors, it detects warning signs such as gas leaks or temperature changes and relays them to a control system. "More customers who initially brought in one or two units are moving to buy additional ones after confirming the practical value," Son said.
The company is also preparing a new business model for the physical AI era. Klobot has put forward the concept of multi-agent orchestration, or MAO, which links multiple AI agents, robots and physical work environments into a single system. The aim is to build a software framework that optimizes the entire workflow at production sites.
Klobot is expanding its logistics automation business as well. Through Doosan Logistics Solution, or DLS, a logistics automation firm it recently acquired, the company plans to extend automation technology used at existing distribution centers into manufacturing sites. DLS has capabilities in logistics center design, construction of automation equipment and systems integration based on warehouse management systems and warehouse control systems. Klobot plans to combine its autonomous driving and integrated control technology with DLS' design and construction capabilities in logistics automation to strengthen a turnkey solutions business that delivers logistics automation systems tailored to customer sites.
Klobot expects this will also make fully unmanned logistics centers possible. For newly built logistics centers, AI and robots can be applied from the design stage to automate the entire process from inbound and outbound handling to sorting, stacking and transport, the company said. "Existing logistics centers have already been automated to a considerable degree, but some steps, such as sorting goods, still require human intervention. Going forward, it will be possible to automate every step through AI and robot technology," Son said. "That said, existing logistics centers have equipment layouts and work flows designed around people, so shifting to unmanned operation will not be easy without a large-scale redesign of the whole facility and a replacement of equipment."
Klobot expects profitability to improve alongside business expansion starting next year. "It is true that profitability has been poor, as we incurred research and development costs for robot software and expenses related to the DLS acquisition," Son said. "With demand for robots growing, we are targeting break-even next year."