Chinese robotics startup Dexmal is in discussions to raise a new funding round at a valuation of approximately 20 billion yuan – roughly $3 billion – according to Bloomberg, citing founder Tang Wenbin. The fundraising follows previous rounds led by Alibaba Group and NIO Capital, with Z.AI, the Chinese artificial intelligence laboratory, also participating in an earlier round. Details on the round’s size, structure, and timeline have not been publicly disclosed.
The new valuation target makes Dexmal one of the most highly valued private humanoid robotics companies in China, joining a cohort that includes LimX Dynamics at $2.21 billion, Simplexity Robotics at unicorn status, and Robotera at an undisclosed valuation ahead of a planned Hong Kong IPO.
Where Dexmal Sits in the Market
The 20 billion yuan valuation target places Dexmal in the upper tier of Chinese humanoid and embodied AI startups by private market pricing – below Agibot’s reported $20 billion IPO target and Unitree’s approximately $9 billion post-IPO market capitalization, but substantially above the majority of the 100-plus Chinese humanoid companies that have raised institutional capital in 2025 and 2026.
The company’s backers position it within two of the most strategically active investor networks in Chinese technology. Alibaba has assembled a portfolio position across multiple embodied AI and robotics companies, including a named stake in LimX Dynamics. Rather than concentrating capital in a single humanoid bet, Alibaba is building exposure across the sector – a strategy that provides optionality as commercial winners emerge from what is currently a fragmented competitive landscape. NIO Capital connects Dexmal to the Chinese electric vehicle investment ecosystem that has produced some of the sector’s most active robotics investors, mirroring the pattern visible in BYD, Xpeng, and SAIC’s moves into humanoid development.
Z.AI’s earlier participation ties Dexmal to one of China’s newer AI laboratories, adding a foundation model dimension to an investor group that otherwise emphasizes hardware, manufacturing, and EV-adjacent technology.
The Investment Climate Behind the Round
The Dexmal fundraising arrives during the most intensive period of Chinese humanoid robot capital formation on record. Q2 2026 Chinese humanoid robot sector investment exceeded 47 billion yuan – more than double Q1 2026 and more than six times the same quarter a year earlier, according to industry data provider Xiniu. The acceleration has continued despite – and alongside – an accelerating IPO wave that is simultaneously providing liquid public market alternatives to private funding.
Unitree’s Shanghai debut drew 9.8 million retail applicants at 1-in-5,500 allocation odds, generating the most oversubscribed technology listing in recent Chinese market history. AgiBot, Robotera, LimX Dynamics, and EngineAI are all advancing toward public listings in Hong Kong or Shanghai. That pipeline has not dampened private market activity for companies that have not yet reached IPO readiness – if anything, the public market enthusiasm has validated private valuations and accelerated the fundraising timelines of companies earlier in their development trajectory.
What Remains Unknown
Dexmal has not publicly disclosed its robot platform specifications, deployment status, customer base, or revenue figures. The funding round valuation will serve as the most concrete public signal of where informed investors are pricing the company’s technology and commercial potential relative to its disclosed peers. Bloomberg’s report confirms the company is actively in fundraising discussions rather than at a term sheet or close stage, meaning the final valuation and round structure may differ from the 20 billion yuan figure Tang provided as a target.
For the broader market, each new private funding round at multi-billion yuan valuations contributes to the accumulation of capital that is collectively enabling Chinese humanoid robot companies to build manufacturing infrastructure, AI model development capability, and commercial deployment capacity faster than any equivalent period in the sector’s history.
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