UIS Technology Closes Hundreds of Millions of Yuan in B2 Funding Round

Embodied Intelligence Funding Boom Continues as UIS Technology Secures Massive B2 Round

With the first quarter of 2025 barely behind us, the funding frenzy in the embodied intelligence sector shows no signs of cooling down. Recently, UIS Technology, a company focused on L4 low-speed autonomous driving, announced the completion of a B2 funding round worth hundreds of millions of yuan. The round was led by Qianhai Ark Capital, with participation from multiple funds under the Qianhai Fund of Funds umbrella, alongside eight investment institutions including Kunling Capital and Houtian Capital.

This marks UIS Technology's seventh funding round since its founding in 2018 and its largest to date, signaling strong capital market recognition of the company's technology roadmap and commercialization capabilities.

Seven Rounds of Funding: A Clear Growth Trajectory

A look back at UIS Technology's funding history reveals a clear trajectory from seed stage to scaled expansion:

• June 2018: Secured a seed round of several million yuan led by PNP China;
• July 2019: Raised tens of millions of yuan in an angel round led by Inno Angel Fund with participation from Chasing Star Ventures;
• October 2020: Completed a Series A round of tens of millions of yuan with participation from Global Brain, Inno Angel Fund, and Chasing Star Ventures;
• July 2022: Raised tens of millions of yuan in a Series A+ round from Haier Capital, Jinmao Capital, and Weiyi Capital;
• January 2023: Secured a Series A++ round of tens of millions of yuan from Zero One Ventures and Houtian Capital;
• July 2024: Completed a Series B1 round of tens of millions of yuan from Chasing Star Ventures and Global Brain;
• 2025: Closed a B2 round worth hundreds of millions of yuan.

Notably, repeat investments from institutions such as Chasing Star Ventures, Global Brain, and Houtian Capital reflect existing shareholders' strong conviction in the company's long-term value.

Technology Roadmap: Pure Vision Replacing LiDAR

Founded in 2018, UIS Technology's core technology centers on achieving L4 autonomous driving through computer vision, replacing traditional multi-line LiDAR solutions in the low-speed driving domain. This approach aligns closely with Tesla's "pure vision" philosophy in the passenger vehicle space, but UIS Technology has chosen a differentiated deployment scenario — low-speed, high-traffic public spaces.

To date, UIS Technology has deployed thousands of autonomous driving devices across high-traffic venues both domestically and internationally, including shopping districts, pedestrian streets, metro stations, and airports. These environments feature dense foot traffic and complex surroundings, placing extremely high demands on perception and decision-making systems. It is precisely this large-scale deployment and the resulting data accumulation that forms the company's most critical competitive moat.

From Autonomous Driving to Humanoid Robots: The Data Flywheel Logic

The most noteworthy signal from this funding round is that UIS Technology is extending its technical capabilities from L4 low-speed autonomous driving into the humanoid robot domain. The strategic logic is straightforward — the two fields share highly homologous core technologies in visual perception, environmental understanding, path planning, and real-time decision-making.

The massive real-world datasets accumulated in low-speed autonomous driving scenarios can provide invaluable training material for humanoid robot perception and motion planning, creating a "data flywheel" effect: more deployments generate more data, more data trains stronger models, and stronger models support expansion into more scenarios — a self-reinforcing cycle of continuous acceleration.

This strategy of expanding from proven commercial scenarios into new verticals offers distinct data and engineering advantages over pure-play humanoid robot startups building from scratch.

Industry Outlook: Embodied Intelligence Enters an Accelerated Consolidation Phase

The embodied intelligence sector currently stands at a critical intersection of technological breakthroughs and commercial deployment. On one hand, rapid advances in large model technology are unlocking new possibilities for general-purpose robot perception and decision-making. On the other hand, capital is increasingly concentrating around companies with real-world scenario data and scalable deployment capabilities.

UIS Technology's latest funding round sends a clear message: in the embodied intelligence race, companies armed with "deployed autonomous driving products + real operational data from thousands of devices + mature visual algorithm systems" are becoming the most sought-after investment targets. Going forward, whoever can spin up the data flywheel fastest stands to gain a decisive first-mover advantage in the humanoid robot competition.