As robotics shifts from prototypes to scaled deployment, a new battleground is emerging not around individual machines, but around the supply chains that make them possible.
Chinese firm Comtech is positioning itself at the center of that transition, describing its role as a “super connector” linking chipmakers, software providers and robotics companies into a unified ecosystem for embodied AI.
The strategy reflects a growing recognition across the industry: building robots is no longer just a hardware challenge, but a systems integration problem spanning semiconductors, AI models, simulation and global distribution.
Building the Infrastructure Behind Robots
Comtech operates as both a distributor of electronic components and a platform for integrating AI technologies into physical systems.
The company works with more than 100 global chip suppliers – including major U.S. firms – while serving a wide range of Chinese robotics developers across industries such as humanoids, drones and autonomous vehicles.
Its role is to bridge these layers.
According to company executives, developing a robot involves far more than assembling parts. It requires simulation tools, 3D modeling, embedded AI models and integration across hardware and software systems before a product can be deployed.
Comtech’s ecosystem approach aims to streamline that process by connecting companies that would otherwise operate in isolation.
The company is also a key distributor for Nvidia’s Jetson edge AI platform in China, which is widely used for robotics and embedded AI applications.
From Fragmented Demand to Scalable Markets
One of the challenges in robotics today is the fragmented nature of demand.
Unlike mature industries, where large volumes of standardized products drive economies of scale, robotics often involves small production runs across diverse use cases.
This makes it difficult for individual companies – particularly startups – to build efficient supply chains and reach global markets.
Comtech’s model attempts to address that gap by aggregating demand and providing shared access to components, integration expertise and distribution channels.
At a recent industry forum, the company signed agreements with partners across sectors including drones, media and robotics services, while also showcasing collaborations in areas such as brain-computer interfaces and embodied intelligence.
The company is also expanding internationally, working to help Chinese robotics firms establish sales and service networks in North America and other markets.
The Next Phase: Commercial Viability
While the ecosystem approach may accelerate development, the industry still faces significant hurdles in commercialization.
Experts at the forum emphasized that technical capability alone is not enough. For robots to succeed in real-world environments, they must meet practical benchmarks for reliability, cost and return on investment.
In industrial settings, companies are increasingly evaluating robots based on payback periods, with some investors suggesting that systems must justify their cost within relatively short timeframes to gain adoption.
Data availability is another constraint. Training embodied AI systems requires large volumes of real-world interaction data, which remains limited compared with software-based AI.
Despite these challenges, investment in robotics continues to rise, with hundreds of funding deals already recorded this year.
Comtech’s strategy suggests that the next phase of competition may not be won solely by the companies building robots, but by those capable of orchestrating the complex networks required to bring them to market.
As embodied AI systems become more sophisticated, the ability to connect components, data and distribution channels into a cohesive ecosystem could prove as critical as the robots themselves.