On January 15, Qingtian Zu — the world's first robot leasing platform — announced the completion of a seed round. Led by GL Ventures, the financing saw participation from Fosun Rong Capital, Muha Sci-Tech Innovation, Dafeng Fund, and an embodied intelligence affiliate of Zhangjiang Group. Proceeds will fuel national market expansion, the build-out of platform technology and service systems, and deeper collaboration with local governments and industrial ecosystems. The goal: to cement Qingtian Zu's first-mover advantage in the Robot-as-a-Service (RaaS) sector.
Launched in December 2025 by embodied intelligence players including AGIBOT and Feikuo Tech, the startup is led by Chairman Jiang Qingsong — a partner at Zhiyuan — and CEO Li Yiyan, Feikuo's founder. The roster also features seasoned executives like Chen Yanxia, former vice president at Ele.me.
At its core, the platform aims to crack a persistent industry bottleneck: high implementation costs and fragmented scenarios. Its strategy hinges on a "shared leasing + platform scheduling" model that transforms robots from high-ticket hardware into on-demand, standardized productivity services. This shift is designed to accelerate mass adoption across the real economy.
Image Source: Qingtian Zu
Since its official launch on December 22, 2025, the platform has gained rapid traction: registered users topped 200,000 within just three weeks. Daily rental orders have consistently held above 200, signaling a clear acceleration in growth.
Qingtian Zu has already partnered with major chains like Meiyijia, Haidilao, Yuyuan, and MIXUE Ice Cream & Tea. Its robot services are deployed in high-frequency commercial scenarios — from driving store traffic to powering brand activations — positioning the technology as a practical tool for offline innovation.
Looking ahead, the company has outlined a "1234 Strategy." By 2026, it aims to connect with over 10 robot manufacturers, develop 200 premier service providers, serve 400,000 leasing clients, and expand its service network to 200 cities nationwide.
Backing from top-tier investors signals market validation for Qingtian Zu's platform-driven approach. Investors argue that by standardizing services and scaling operations, the startup systematically lowers the cost and barrier to using robots. This offers a critical path for the industry to bridge the "last mile" from technical verification to commercial viability. As the network expands, robots could become as ubiquitous and accessible as utilities — a foundational resource ready for on-demand deployment.
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