About Us
Our Vision and Values
Mission Statement
“Becoming the AI robotics leader that solves real-world industrial challenges.”
We reduce risks, improve efficiency, and create new value through cutting-edge robotics and AI technology.
Vision Statement
“A global AI robotics innovator connecting people and industries.”
By merging digital twin and robotics, we redefine industrial operations and aim to deliver 200+ robots and achieve KRW 200B in revenue by 2029.
Core Values
Innovation We value integrity, inclusivity, and innovation, striving to create a positive impact in our community and beyond.
Trust – Building lasting confidence with clients, partners, and society
Collaboration – Growing through global partnerships and open cooperation
Advanced Industrial Robotic Solutions
From Industrial Robots to Future Robotics Platforms
We create the most realistic artificial intelligence
Some Cool Facts
Numbers Speak For Themselves
Based on field experience and robot operation data, we provide tailored solutions for real industrial environments.
Behavioral detection
A method of observing human behavior involves monitoring a combination of physiological responses such as changes in heart rate or pupil dilation, verbal cues including tone, word choice, and speech patterns, and non-verbal signals such as facial expressions, gestures, and posture. Taken together, these behaviors provide insight into a person’s emotional state or intentions. In certain situations, they may indicate stress, discomfort, or something unusual that requires closer attention or further investigation.
Real-time vehicle and pedestrian detection
Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate and identify object instances from a large number of predefined categories in natural images, which often contain clutter and variations in scale or appearance. Deep learning has emerged as a powerful strategy for automatically learning feature representations directly from data, and this has driven remarkable breakthroughs and steady progress in the field of generic object detection.