China bets big on embodied AI with two rounds

Two robotics startups just hauled in fresh capital, signaling a state-private push into embodied AI.

Alibaba Cloud-led funding for Shengshu Technology amounts to about RMB 2 billion, with Baidu Ventures and Luminous Ventures among the participants. The round follows a roughly RMB 600 million round completed two months earlier. Shengshu focuses on video-generation tech via its Vidu product, pivoting into a market crowded with ByteDance, Alibaba, and Kuaishou, as well as upstart PixVerse. Shengshu’s Q3 model, released in January, can generate up to 16 seconds of synchronized audio and video, with multi-shot composition and camera-control features. The company is founded by Tsinghua University professor Zhu Jun and has roots with Beijing-government-backed funds and other public investors; it counts Baidu and Qiming Venture Partners among early backers and claims rapid growth in users and revenue in 2025. In December 2024 Shengshu open-sourced its Motus model series, designed to improve perception for robotics and intelligent systems, signaling a broader effort to build an in-house AI-robotics stack.

A day earlier, EngineAI Robotics closed a $200 million Series B at a valuation above RMB 10 billion, underscoring a parallel push from manufacturers to embed intelligence into robots. Co-led by funds tied to Henan Investment Group and Luxshare Precision Industry, with participation from other institutional investors, the round follows nine total funding rounds for the company since its 2023 inception. EngineAI’s portfolio spans humanoid and quadruped platforms, including the T800, SA01, and SE01. The company has also inked a procurement framework agreement for at least 2,000 units aimed at deployments in traffic management, security inspection, and retail settings. Industry data suggests the number of Chinese “embodied AI” firms valued at more than RMB 10 billion has surpassed ten, highlighting a crowded field that blends hardware manufacturing with AI software.

Taken together, the two rounds illustrate a deliberate, cross-cutting push to assemble an domestically powered embodied AI ecosystem. Policy-wise, the involvement of state-backed and local government funds in Shengshu’s round, alongside Luxshare’s private-market muscle on EngineAI, signals a coordinated effort to knit AI perception, control, and actuation into the manufacturing and services fabric. Shengshu’s open-sourcing move with Motus fits a broader national pattern: building common perception and robotics capabilities so Chinese platforms can be adapted across factories, cities, and retail spaces without relying exclusively on foreign tooling. In Henan and other provinces, procurement scales—evidenced by EngineAI’s 2,000-unit framework—are a litmus test for how quickly such tech can migrate from pilots to operations.

For practitioners watching the supply chain, several implications stand out. First, funding signals a robust pipeline for domestic AI models to power on-floor robotics and automation—if the vendors can translate research benchmarks into reliable, maintainable systems under real-world variance. Second, Luxshare’s participation hints at a tightening vertical: a contract-manufacturing powerhouse could compress deployment cycles and reduce integration risk for buyers seeking turnkey robot solutions. Third, government involvement—through state-linked funds and procurement ambitions—adds a governance dimension to valuations; diligence should weigh subsidies, related-party financing, and governance structures as much as tech milestones. Finally, the technology emphasis on embodied AI—perception, control, and actuation working in concert—means watchpoints include sensor fusion reliability, long-horizon maintenance costs, and the need for robust cybersecurity as robots move from controlled lines to public-facing roles.

The trend is clear: China is underpinning two converging streams—perception-first AI models and integrated robotic platforms—and aligning them with regional industrial policies and capex cycles. If the current capital cadence sustains, the domestic robotics and AI stack could begin to shift from pilot projects to scale deployments across factories, campuses, and urban spaces, reshaping sourcing decisions for global manufacturers and competition with foreign suppliers.

Sources

Alibaba Cloud Leads New Funding Round for Shengshu Technology

EngineAI Raises $200 Million in Series B, Valuation Exceeds RMB 10 Billion