Omoway unveils OMO-ROBOT architecture and begins mass production of self-balancing OMO X e-motorcycle

Omoway has introduced its OMO-ROBOT architecture and confirmed that the OMO X, described as the world’s first mass-produced self-balancing electric motorcycle, has entered mass production. The announcement was made during a global launch event in Singapore.
According to the company, the new platform combines aerospace-grade gyroscope technology with proprietary reinforcement learning models to address the longstanding challenge of maintaining balance on two-wheeled vehicles. Omoway says the architecture functions as a full-stack control system that integrates perception, decision-making, and mechanical execution.




The OMO X motorcycle relies on a Control Moment Gyroscope (CMG) module, which uses the conservation of angular momentum to maintain upright stability. The system is designed to support features such as wet-surface slip prevention, curve assistance, and obstacle avoidance. Omoway also stated that the motorcycle recently received the 2026 iF Design Award.
Pre-orders for the OMO X are scheduled to open in late April 2026 in Indonesia, followed by the first commercial launch in Jakarta in late May 2026. Pricing and detailed specifications will be announced closer to the release date. The company says it has already signed multiple distributors in Indonesia and expects its local dealer network to exceed 100 locations.
Alongside the motorcycle, Omoway also introduced Mobility One, a multi-purpose wheeled robot designed for logistics and service tasks. The platform inherits the control and perception systems developed for the OMO X and is capable of navigating tight spaces such as doorways, elevators, and narrow alleys.
“Intelligence truly serves humanity only when it is embodied,” said Todd, founder of Omoway, during the event, adding that the company aims to combine artificial intelligence with robotics to improve physical mobility systems.
Omoway stated that its longer-term plans include expanding the OMO-ROBOT platform into areas such as autonomous logistics, smart infrastructure, and intelligent mobility solutions.










