YY Group (NASDAQ: YYGH) has made significant strides in its AI training data strategy with the launch of a Humanoid Robotics Training Lab in Singapore, powered by NVIDIA accelerated computing, and pilot humanoid robot deployments in a major mall and luxury hotel. This development extends their April 2026 AI training data strategy and supports their FY2026 revenue guidance of US$103–110 million, with a clear path to profitability. The company's AI initiatives are supported by existing resources, with no change to their revenue guidance. The launch of the Singapore Humanoid Robotics Training Lab, using NVIDIA accelerated computing technology, establishes a "Human-Robot Co-Working" framework, positioning the company to offer AI-enhanced labor solutions across hospitality, retail, and other service environments. The lab will serve as an exhibition space for client demonstrations and will complement the Johor, Malaysia AI training and data collection facility announced in April. Together, these facilities will capture structured, real-world human activity data from the company's network of over 500,000 workers across 12 countries and use that data to train and refine service robots for deployment alongside human workers in live service environments. The pilot deployments of humanoid robots in two of Singapore's leading commercial retail and hospitality facilities will allow the company to gather operational data and physical-interaction telemetry to further refine robots' spatial awareness and task performance while also increasing human teams' efficiency. Mike Fu, Chief Executive Officer of YY Group, emphasized the importance of this development, stating that the company is building a collaborative ecosystem where human expertise and robotic precision benefit one another. This announcement advances YY Group's AI training data strategy, positioning them to serve clients with hybrid workforce models that combine human talent and automation to address chronic labor shortages and supply structured real-world datasets to technology companies developing robotics and AI systems. The company's disciplined capital approach and commitment to infrastructure innovation, measurable client outcomes, and long-term value creation are key to their success in this rapidly evolving field.
