Jun Wu , Independent Director at GMEX Robotics brings deep expertise in corporate governance, capital markets, and financial oversight, with a track record supporting publicly listed companies. He provides independent strategic guidance on corporate direction, capital allocation, and executive performance while ensuring strong governance, regulatory compliance, and risk management. As an Audit Committee member, he helps oversee financial reporting, internal controls, and audit processes, reinforcing transparency and accountability. His broader experience includes senior roles in financial institutions and serving as Company Secretary at Victor Group Holdings, where he manages ASX compliance, board operations, and shareholder communications.
GMEX Robotics is a technology company focused on developing AI-powered robotic systems for consumer, commercial, and industrial applications. Transitioning from its origins in e-commerce, the company is building intelligent hardware solutions such as robotics for hospitality, healthcare logistics, and industrial automation. By combining sensors, machine learning, and real-time control systems, GMEX aims to create an integrated ecosystem of robotic platforms designed to improve efficiency, reduce labor demands, and bring practical automation into everyday operations.
GMEX Robotics has evolved from its origins as a fitness technology company into an AI-driven robotics platform. What triggered this transformation, and how does your legacy in biomechanics shape your robotics strategy today?
GMEX Robotics, formerly Fitell Corporation, began by modernizing its foundational expertise, integrating sensors and connected systems to capture real-time movement and force data through precision fitness solutions. That work revealed something fundamental: the same principles that optimize human movement are precisely what intelligent machines need to operate reliably in the real world. Our mission today reflects that insight. We are building the physical hands of the future, powered by the most intelligent and cost-efficient swarm of AI brains on the planet. We develop robots that sense and act, and we aggregate the AI that tells them how. Our biomechanics heritage is the foundation of everything we build.
Many robotics companies begin with software-first approaches, but GMEX is emphasizing a hardware-first foundation. Why is this the right strategy for building reliable, real-world robotic systems?
Hardware is the data collection fleet. Our modular robotic chassis, advanced vision sensors, and universal grippers are deployed into real environments precisely because physical presence generates the ground-truth telemetry that no simulation can replicate. Industry 4.0 demands speed, precision, and adaptability. Our 5.AXIS Collaborative Robot, crafted from aerospace aluminium with micron-level accuracy and dynamic torque control, exemplifies this. Hardware precision at that level cannot be achieved by bolting software onto a weak mechanical foundation. Reliability must be engineered in from the ground up.
Your background in motion science and human performance is somewhat unique in robotics. How does this translate into tangible advantages when designing intelligent machines?
Most robotics teams come from mechanical engineering or computer science backgrounds, which are invaluable, but they don’t always account for the nuanced complexity of human movement. We are a human performance technology company, applying our deep understanding of motion to a new frontier, building robotics capabilities that drive innovation first in wellness, and ultimately across multiple domains that require precise, adaptive physical intelligence. That heritage also informs our AI routing strategy. Because we understand how bodies interact with space, we can define meaningful success metrics, like whether a robot successfully grasps a wet glass without breaking it, that generic AI benchmarks simply don’t measure. That real-world performance data becomes one of our most defensible assets.
GMEX is positioning itself at the intersection of AI, robotics, and human movement. What are the biggest technical challenges in integrating these three domains effectively?
The core challenge is economics as much as engineering, not just making robots intelligent, but making intelligence affordable at scale. We are building an AI Model Brokerage and Orchestration Layer: a unified API gateway that connects our physical robots to the global ecosystem of large language models and vision-language-action models. This means dynamically routing a simple “pick up the cup” command to a cost-efficient local model, while routing a complex “read this prescription label and cross-reference the chemical hazard sheet” query to a frontier model. We track this through a metric we call Cost Per Successful Action. On the safety side, we address physical reliability through force-torque sensors, advanced 2D/3D vision systems, collision detection, and digital twins to simulate and optimize interactions before physical deployment.
The company has mentioned a focus on real-world environments rather than controlled lab settings. What does it take to move robotics from experimental prototypes to scalable, production-ready systems?
It requires a fundamental shift in mindset and a business model built around real-world feedback loops. Our culinary robotics platform demonstrates this clearly. Our Bon Vivant 3.0 and Max Kitchen robotics platforms automate key culinary processes through integrated sensors, AI-driven control systems, and programmable cooking workflows, assisting professional kitchens by improving operational efficiency while maintaining consistency in food preparation. Each deployment feeds telemetry back into our AI routing platform, which learns which models perform best for which physical tasks. Over time, our platform becomes the only aggregator with embodied success data, routing not just on price or speed, but on physical reliability scores. That feedback loop is what separates a prototype from a production system.
GMEX is building both consumer and commercial robotics solutions. How do the requirements differ between these two markets, and which do you see scaling faster?
The requirements differ significantly. On the commercial side, including industrial cobots for kitting and palletizing, and pharmaceutical sterile compounding and lab automation arms, the tolerance for error is low and uptime is non-negotiable. Our systems are designed to reduce labor intensity while maintaining high-quality output and standardizing processes across locations. Our recent AU$4.2 million agreement covering 50 robots deployed across a hospitality group at major Australian airports is a proof point of commercial scalability. On the consumer side, including home assistance mobile manipulators for elderly care, the bar is intuitive design, affordability, and a higher degree of safety assurance. Commercial applications are scaling faster near-term, but our AI routing platform means the intelligence powering both markets improves continuously from shared real-world data.
With advancements in computer vision, machine learning, and mechatronics accelerating rapidly, where do you see the biggest breakthroughs happening within your robotics stack?
The most consequential breakthroughs will come from what we call the Intelligence Flywheel. Our home robots collect millions of images of cluttered domestic environments; our lab robots collect millions of images of pipette tips and pharmaceutical components. Our AI routing platform uses this proprietary data to fine-tune open-source models, essentially creating specialized variants trained on embodied, real-world data that no cloud-only AI company can replicate. The underlying technologies, including responsive actuators, vision systems, and adaptive control algorithms, represent a versatile new pillar of our business, and the compounding value of proprietary training data on top of that hardware foundation is where we see the most durable competitive advantage emerging.
GMEX has highlighted the importance of creating adaptable, human-centric robots. What does adaptability mean in practice, and how do you ensure robots can function across unpredictable environments?
Adaptability means the robot always uses the right intelligence for the right task, at the right cost, without freezing when conditions change. Our platform builds in fallback and redundancy: if one AI provider’s API goes down, the system seamlessly fails over to another without interrupting the robot’s operation. For sensitive environments like pharmaceutical or consumer eldercare, our privacy-aware edge routing can direct queries to on-premises models to ensure HIPAA compliance, while still leveraging cloud providers for general reasoning tasks. We also deploy powerful industrial robots for heavy background tasks while flexible cobots handle frontline interaction with human workers, creating more resilient and adaptive workplaces. Human-centricity means robots that behave predictably and safely around people, by design.
As robotics adoption increases across industries, what are the key barriers still preventing widespread deployment, and how is GMEX working to overcome them?
Three barriers stand out: cost, complexity, and trust. Our integrated strategy directly addresses all three. On cost, our Cost Per Successful Action optimization means customers are not paying frontier AI prices for simple tasks. On complexity, our unified API gateway abstracts away model selection, fallback routing, and integration overhead, so operators don’t need AI expertise to deploy our systems. On trust, these efforts leverage GMEX’s expertise in motion science, hardware engineering, and AI to deliver adaptable, human-centric systems that integrate seamlessly into real-world operations, and every deployment builds the physical reliability data that makes our routing smarter over time. A competitor might sell a cheaper robot arm, but without access to our platform’s specialized model routing and fine-tuning, that robot will simply be less capable.
Looking ahead, what is your long-term vision for GMEX Robotics, and how do you see AI-powered robotics reshaping everyday life over the next decade?
We are building the Nervous System for Physical Automation. By aggregating the world’s AI models and connecting them directly to our robotic fleet, we solve the economics of embodied intelligence, ensuring that the robot in the lab and the robot in the living room is always using the right intelligence for the right task, at the right cost. While health and performance remain our first and most natural application domain, the underlying technologies represent a versatile new pillar of our business that extends into industrial, pharmaceutical, and consumer markets. Our AU$4.2 million first commercial order is an early proof point. Over the next decade, we believe AI-powered robotics will become as embedded in everyday life as the smartphone, and GMEX’s role is to be the intelligence operating system that any robot, anywhere, can rely on to think and act in the real world.
Thank you for the great interview, readers who wish to learn more should visit GMEX Robotics .