Zhipingfang completes 5 billion yuan financing, valuation rises to 20 billion yuan.

Author | Huang Yu

Recently, embodied intelligence company Zhipingfang completed a series of new financings, with total financing reaching nearly 5 billion RMB (about 700 million USD).

Wallstreetcn has learned that following this round of new funding, Zhipingfang's valuation has risen to over 20 billion RMB.

IT Juzi statistics show that in the first half of 2026, there were a total of 288 financing events in the domestic embodied intelligence track, involving 226 companies, and disclosed financing amount exceeded 46 billion.

Although the embodied intelligence field remains hot, the direction of capital investment is extremely unbalanced.

According to IT Juzi statistics, the top 5 companies attracted about 17.1 billion (37%), the top 20 companies took about 33 billion (over 70%), while the remaining 200+ companies shared about 12.4 billion, with each only getting tens of millions on average.

On this basis, Zhipingfang's 5 billion yuan financing can be considered a considerable figure in the current industry, and also shows that it is in the core circle of capital attention.

It is reported that, after this financing, Zhipingfang will accelerate the iteration and upgrade of the "robot brain" and the process of mass production.

Zhipingfang is a very young company, founded in April 2023 and headquartered in Shenzhen Robot Valley. Currently, Zhipingfang's capital backs include state teams, ministries and commissions, the Greater Bay Area, local governments, insurance capital, securities firms, trillion-yuan industrial partners, and leading financial investors.

As one of the world's earliest companies to lay out the end-to-end VLA route, Zhipingfang adheres to a "brain first" technical path, and continuously iterates its self-developed embodied large model AlphaBrain.

At the recently held Summer Davos Forum, Zhipingfang founder and CEO Dr. Guo Yandong stated in his speech that the next-generation robot brain should not just be a contest of computing power and data, but should explore more efficient and sustainable development paths.

It is reported that in 2026, Zhipingfang launched and open-sourced the world's first self-developed original brain-like VLA model NeuroVLA (the latest version of AlphaBrain).

Guo Yandong pointed out that, unlike traditional large models which rely on massive amounts of data and computing power, NeuroVLA draws on the working mechanism of the human brain, enabling robots to have memory, learning, and autonomous evolution capabilities, completing learning and decisions with much less data.

"If everyone keeps moving forward along the same large model route, we need 10 times the data and 10 times the electricity," Guo Yandong said. "But the real world doesn't have unlimited data and energy."

In his view, brain-like intelligence, small-sample learning, and low-power computing will become the important development directions for the next generation of robot brains.

Of course, as embodied intelligence enters the stage of commercial validation, for companies to remain at the table, they must quickly advance the scale mass production of embodied intelligence products.

In terms of products, Zhipingfang has designed the AlphaBot (Aibao) series of robots, with its own production line started in September 2025, and annual production capacity has now exceeded 2,000 units. By the second half of 2026, Zhipingfang will launch the country’s first productivity embodied humanoid production line with tens of thousands of units.

Besides putting robots in factories, Zhipingfang is also exploring new commercial scenarios, such as launching the embodied intelligence service space "Zhimofang" at the end of 2025, including independent functional modules like coffee, ice cream, entertainment, and retail.

According to Zhipingfang's plans, the company aims to launch 1,000 Aibao Zhimofang spaces nationwide in the next three years, and is currently transitioning from project-based delivery to productization and mass production.

Guo Yandong said the development of the robot industry must be built on real applications. Scenarios bring data, data drives model evolution, stronger models enter more scenarios, and this ultimately forms a continuously iterating data flywheel.

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