Linkerbot ships 10,000 robot hands, hits $3B valuation

Alex Zhou had a simple insight when he founded Linkerbot in 2023: the humanoid robot industry was going to need a lot of hands. Not arms. Not full robots. Hands. Twenty-plus degrees of freedom, capable of threading needles and manipulating small parts, at a price that didn't require a capital budget approval to buy.

Two years in, his bet looks prescient. Linkerbot shipped more than 10,000 robotic hands in 2025 alone. Its April 2026 funding round valued the company at $3 billion. Customers include Samsung Electronics, Siemens, Stanford University, and Tsinghua University. And Zhou, who holds a 31% stake, is now worth an estimated $920 million on paper, with another fundraise targeting a $6 billion valuation already underway.

This is the company that Reuters, Forbes, and others have described as solving the robot hands problem. It's worth understanding exactly what that problem is, and why Linkerbot's approach to it is genuinely different.

The hands problem

Humanoid robots are, in many ways, a solved problem from the waist down. Walking, balancing, navigating stairs: hard, but tractable. The hands are where things fall apart. Tesla's Optimus program has cited hands as a bottleneck, and it's not alone. The mechanical complexity is enormous. A human hand has roughly 27 degrees of freedom and an extraordinary range of force control, from cracking an egg without breaking the yolk to gripping a 50-pound box. Most robotic grippers can do one thing or the other, not both.

The question of how many fingers robots need is not academic. It determines what jobs a humanoid can actually perform. A robot that can only grasp cylinders and cubes is not a general-purpose worker. It's a very expensive conveyor belt.

Linkerbot's approach is to build hands that genuinely approach human dexterity. Their advanced models feature more than 20 degrees of freedom, close to the human hand's ~27. Other high-DOF competitors exist, but Linkerbot's competitive edge is in doing it affordably. Models range from 6,666 yuan to 99,999 yuan, roughly $980 to $14,700. Overseas competitors charge $100,000 or more for comparable capability.

How Zhou built the cost advantage

Zhou's background explains a lot. Before Linkerbot, he worked at Lenovo developing smartphone design software, then co-founded companies in gaming and autonomous driving. Both exits, and a lot of experience watching hardware supply chains. When he started Linkerbot, he made one early decision that defines the company's cost structure: manufacture nearly everything in-house.

Most robotics startups source components externally, which speeds time to market but hands pricing power to suppliers. Linkerbot built four factories, spread across Beijing and Shenzhen, to control actuators, sensors, and mechanical assemblies internally. This is why a Linkerbot hand can cost a tenth of what competitors charge. The margin is real because the supply chain is owned.

It also enables faster iteration. When a design change affects an actuator, you don't wait on a third-party supplier's engineering queue. You change it at your own factory. That speed compounds over time into a substantial product lead.

LinkerSkillNet: the software layer

Hardware alone doesn't close the loop. A 20-DOF hand that doesn't know how to use all 20 degrees of freedom is just an expensive paperweight. Linkerbot's answer is LinkerSkillNet, an AI-powered movement library that currently contains more than 500 hand skills. Threading a needle. Peeling a label. Sorting small components by feel. Zhou's target is one million skills across household, manufacturing, and medical applications.

This is the right kind of ambition. The robot training data problem is one of the industry's most expensive and unsolved challenges. If Linkerbot can get 100,000 hands in the field, each one generating training data for LinkerSkillNet, the library compounds rapidly. Companies like Mecka AI are making $100M a year just collecting training data for robot learning. Linkerbot has the potential to generate that data at scale from its own deployed fleet.

The market context

Zhou's strategic bet, focus on hands rather than full robots, is a direct response to a real market structure. A full humanoid costs $100,000 to $150,000. Most companies piloting robots don't want to spend that to evaluate a workflow. But a robotic hand mounted on an existing robot arm? That's a $10,000-$15,000 test. The bar to entry is dramatically lower, which means more deployments, more data, more iterations.

Linkerbot's customers span research, manufacturing, and consumer electronics. Samsung and Siemens represent the industrial side. Stanford and Tsinghua represent the research pipeline that will generate the next generation of techniques. It's a smart dual-track customer base: industry pays the bills, research generates IP and brand legitimacy.

The $6 billion valuation target signals something else: Linkerbot's investors believe this is not a niche play. China already controls the permanent magnet supply chain that goes into most robot actuators. Linkerbot is positioned to control the hands. The two together represent a meaningful portion of the humanoid robot hardware stack.

What to watch

The path from $3 billion to $6 billion depends on two things: whether Linkerbot can reach 100,000 annual units, and whether LinkerSkillNet can become a meaningful platform rather than a feature. The first is a manufacturing execution problem. The second is a harder question about whether proprietary skills data creates durable lock-in or gets commoditized as open-source alternatives emerge.

Zhou's stated vision, automated factories where robots assemble additional robots, and $1,000 prosthetic hands for amputees, is coherent and directionally right. But the near-term test is simpler: can Linkerbot maintain its price advantage as the broader robotics supply chain matures and competitors build their own vertical integration? The answer to that question is what $6 billion actually bets on.

Sources

• VnExpress International — How Alex Zhou built $3B startup Linkerbot to give robots human-like hands
• The Next Web — China's robot-hand unicorn Linkerbot is hunting a $6bn valuation
• Tech Funding News — Linkerbot hits $3B valuation with Ant Group, HongShan
• Humanoid.guide — Humanoid robot hands lift Linkerbot valuation target