Linkerbot, a Chinese robotics startup, has cornered 80% of the global market for dexterous robotic hands. The company's rapid valuation growth is fueled by its innovative, high-precision grippers that can mimic human-like dexterity.
Overview
Linkerbot's flagship Linker Hand series spans six to 42 degrees of freedom and uses all the major actuation methods used in the field. The lightweight O6 model weighs 370g and is rated to handle a 50kg load. Higher-DoF variants, such as the L30, are aimed at research labs and humanoid integrators willing to pay for finer-grained control.
What it does
In demonstrations, the hands turn screws at speed, grasp soft objects without crushing them, thread a needle, and carry out high-precision assembly tasks. The company's expansion is more concrete than most pitches at this stage of the AI cycle, with more than 400 employees and five factories across Beijing and Shenzhen.
Tradeoffs
The intensity of the talent race in Chinese robotics has reached the point where rival UBTech has dangled an $18m package for a chief AI scientist. By that yardstick, a $6bn valuation for a company that makes only the hands is an aggressive bet. It is also a bet that goes against a striking gap in the market, where American investors treat humanoid companies as artificial-intelligence platforms, while Chinese investors price them more cautiously, as industrial hardware businesses.
The company's bet is that being early, large, and the only volume supplier in its category will be enough to outrun the risks, including geopolitical exposure and the possibility that humanoid platforms eventually integrate hand designs in-house. For now, a company that started with a cartoon cat and a hunch about hands is one of the more closely watched stories in the global robotics market.
In practical terms, Linkerbot's success highlights the importance of dexterous robotic hands in the development of humanoid robots. As the company continues to expand its production capabilities and accumulate proprietary training data, it is likely to play a significant role in shaping the future of the robotics industry.