Founded in 2015, Brils is a full-stack robot modularization platform company that has internalized every stage of robot automation — system design, hardware manufacturing, software development, installation, and after-sales service.
Classified under 'Special-Purpose Machinery Manufacturing' on KRX, the company supplies modular automation solutions to industries spanning automotive, semiconductors, secondary batteries, and logistics.
Its core product portfolio consists of three pillars: industrial robots, collaborative robots, and low-floor autonomous mobile robots (AMRs), which are combined and modularized to deliver customized automation systems for each client.
Through collaborative projects with major Korean corporations including Hyundai Motor, HD Hyundai Heavy Industries, SK Eco Plant, and LG CNS, the company has continuously accumulated industrial field data and, as of August 2026, holds 191 intellectual property rights, including 25 overseas patents (PCT-registered).
More than 1,300 robot automation projects have been completed since inception, and the control, vision, inspection, and safety technologies accumulated through these projects have been standardized into reusable modules deployable across multiple industries.
The company is now extending its technology reach from established industrial automation into Physical AI and on-device AI-based humanoid and quadruped robots, publicly demonstrating these next-generation platforms at its listing ceremony.
Domestically, competitive peers include conglomerate-affiliated firms such as Doosan Robotics, Hyundai Robotics, and Rainbow Robotics, and start-up rivals such as Cimes Robotics (3D vision-based) and Michelo Robotics (AI motion learning).
Globally, traditional industrial robot leaders (ABB, FANUC, KUKA) and emerging Physical AI players (Boston Dynamics, Tesla Optimus) frame the competitive landscape.
Brils' differentiation rests on a proven modularization platform with extensive industrial references and the technological continuity that bridges existing automation expertise with Physical AI ambitions.