YY Group deploys humanoid robots in Singapore malls as stock surges on AI workforce strategy

3 Sources

Share

Singapore-based YY Group Holding launched a humanoid robotics training lab and deployed service robots at commercial facilities including shopping malls and luxury hotels. The company's stock jumped over 30% as it transforms workforce data into AI training assets using NVIDIA technology, targeting the autonomous facility management market.

YY Group Stock Surges on Humanoid Robot Deployment News

YY Group Holding shares climbed 31.92% to 16 cents following the company's announcement of humanoid robot deployment across commercial facilities in Singapore

1

. The Singapore-based AI-native workforce management and integrated facility management company revealed plans to position humanoid robots at shopping malls, hotels, and commercial real estate properties, with an initial focus on high-frequency sanitation and facility maintenance workflows. At current prices, YY Group carries a market capitalization of approximately $547,000, though the company remains unprofitable and is quickly burning through cash

3

.

Source: Benzinga

Source: Benzinga

Humanoid Robotics Training Lab Powers AI Strategy

The company announced the launch of its humanoid robotics training lab in Singapore, operating on NVIDIA accelerated computing technology and complementing its AI training facility in Johor, Malaysia announced on April 22, 2026

3

. Both facilities will capture structured real-world workforce data from YY Group's network of over 500,000 workers across 12 countries spanning hospitality, food and beverage, facility maintenance, security, and other service roles

2

. The humanoid robots feature advanced mobility, 3D touch-sensitive robotic hands, and are powered by the NVIDIA Jetson Orin onboard AI computing platform

1

.

Data Collection Transforms Labor into Digital Assets

YY Group's cleaning personnel will wear proprietary data-collection gear during active shifts, capturing real-world workflow data including spatial interaction, human kinematics, and environmental telemetry—converting labor hours into proprietary digital assets

1

. The data collection strategy aims to scale imitation learning and simulation-to-real development, positioning YY Group as a data provider within the autonomous facility management ecosystem. "This initiative bridges the gap between physical labor workflows and scalable AI data infrastructure," said Mike Fu, CEO. "We are aggressively transforming operational know-how into a proprietary, high-margin data asset"

1

.

Human-Robot Co-Working Framework Addresses Labor Shortages

Pilot deployments will place service robots alongside human workers at a major shopping mall and a luxury hotel in Singapore to gather operational data and refine the robots' spatial awareness and task performance

3

. Mike Fu explained that the Human-Robot Co-Working framework is "built on a simple principle: robots handle repetitive and physically demanding tasks while human workers focus on higher-value service"

3

. The company plans to serve clients with hybrid workforce models combining human workers and automation to address labor shortages across Asia .

Revenue Targets and Platform Integration

The initiative integrates with YY Group's existing platforms, including its workforce optimization platform YY Circle and the 24IFM software platform

1

. YY Group stated the initiatives are supported by existing resources and do not change its fiscal 2026 revenue guidance of $103 million to $110 million, representing substantial growth from the company's $57 million in revenue over the last twelve months

3

. The company targets long-term SaaS and automation revenue by positioning itself as a structured dataset provider to technology companies developing robotics and AI systems. The Singapore lab will also serve as an exhibition space for client demonstrations, advancing the Agentic and Robotic Automation module outlined in YY Group's May 11, 2026 Strategic Update

3

. The YYGH stock price has declined about 99.8% over the past 12 months, trading between a 52-week high of $172.50 and a 52-week low of $0.13

2

.

Today's Top Stories

© 2026 TheOutpost.AI All rights reserved