YYForce opens a Singapore center to train humanoids for service jobs
The Nasdaq-listed workforce company will test humanoid and service robots across hospitality, cleaning and security workflows.
YYForce Inc. (NASDAQ: YFOR), a workforce solutions and integrated facility management company, said on October 6 that it has opened a Robotics Training, Data and Experience Center in Singapore. The facility is built for humanoid robot training, operational data collection, workflow testing and customer demonstrations across hospitality, cleaning, security, delivery and facility management.
Inside are simulated service environments — hotel housekeeping, restroom cleaning, banqueting and hospitality support — where humanoid and specialized service robots are trained and evaluated alongside human workers. YYForce says repeated training runs will build an operational dataset covering navigation, movement, object interaction and task execution, and that it is evaluating robotics-as-a-service, leasing and managed-service models as potential recurring revenue under its 2030 vision of a future workforce solutions provider.
The company was careful to frame the opening as a starting point rather than a revenue event: it said it has not announced material revenue from the proposed robotics business models, and that the opening does not represent material robotics orders or contracted recurring revenue. The market figures in the release — a $68.1 billion 2026 service-robotics market and a $5.41 billion humanoid market, per third-party researchers — are industry context, not YYForce’s addressable revenue.
For Singapore context, the release noted the physical AI testbed announced in May 2026 for Punggol Digital District by IMDA, JTC and the Singapore Institute of Technology — while explicitly saying YYForce is not announcing participation in that program. CEO Mike Fu said the center gives the company a dedicated environment to train humanoids, gather operational data and evaluate service robots before customer deployment, and that it will pursue leasing and managed-robotics relationships while testing each application against performance and cost requirements.