Qingtian Zu completed 7 rounds of financing within one year, with investment from the Mango ecosystem.

It is learned from PEdaily AI that today (November 13), Qingtianzu announced the closing of a strategic financing of several hundred million yuan, with the joint participation of industrial and cultural & entertainment players including Heda Investment, Mango Industrial Investor (Houwei Capital), and Zhonglian Jisong.

This is the 7th round of financing disclosed by Qingtianzu within this year.

Founded in December 2025, Qingtianzu was jointly initiated by Agibot and Feikuo Technology, taking the lead in entering the robot leasing track. With the new round of financing, Qingtianzu announced the upgrading of its business model — shifting from "robot leasing" to "robot productivity services", and evolving from "leasing out equipment" to "delivering work".

7 rounds of financing within a year, achieving explosive growth

Looking at this round, it seems that every investor brings far more than just capital.

Among them, Houwei Capital is a market-oriented private equity investment manager under the Mango Media system, which will open up the cross-border link between content and embodied intelligence — robots are no longer just performance props, but become offline carriers of IP content and core nodes of immersive experiences, jointly creating a brand-new entertainment form of "IP content + robot performance + offline interaction", so that embodied intelligence can truly enter mass consumption scenarios.

Heda Investment will provide support for Qingtianzu's regional industrial expansion, as well as the aggregation of technology, talent and service resources, and jointly promote the implementation of the Worken training system. Relying on real industrial scenarios to complete robot capability verification and large-scale replication, it will build a regional benchmark for the commercial implementation of embodied intelligence.

Zhonglian Jisong Network Technology Co., Ltd. focuses on instant delivery. After the investment is completed, it will open up real logistics scenarios such as end-point delivery and park services, and work with Qingtianzu to polish the robot cluster operation plan, verify the multi-robot cooperative scheduling capability in real business processes, promote the extension of robot services from commercial performance scenarios to industrial rigid demand scenarios, and unlock the large-scale application space of clustered services.

It is reported that all the funds raised in this round will be focused on building the core capabilities of robot productivity services, with key investment in application service R&D, the implementation of the Worken training system, the construction of the entire industrial ecosystem and the upgrading of the national performance network.

Founded less than a year ago, Qingtianzu has achieved rapid financing progress all the way.

In January 2026, the company completed the seed round of financing, led by GL Ventures, with joint participation of Fosun Fortune, Muhua Tech Innovation, Dafeng Industrial, and the embodied intelligence company under Zhangjiang Group. It is reported that pure financial investors are rarely included in the shareholder list, and investors must bring industrial resources or have business extension value.

Then in March, Qingtianzu completed two rounds of financing, the angel round and angel+ round, with a total financing amount exceeding 100 million yuan. The lead investors are listed company Broad-Ocean Motor, Muhua Tech Innovation, Minzhuo Electromechanical, and the follow-on investors include Yuehua Entertainment, Fu Zhuo Investment, Mingjia Capital, Ruizi Venture Capital, Tianji Investment, Jiaxing Nantou, Zhixing Investment, etc. The old shareholder Dafeng Industrial over-subscribed. It is reported that more than 40 investment institutions threw investment intentions in this round. Mingjia Capital, which is managed by actor Huang Xiaoming, made the decision to invest in less than 24 hours from face-to-face communication.

Soon, Qingtianzu announced the completion of several hundred million yuan of Pre-A round financing. The investors not only include industrial players such as Chia Tai Robot under Chia Tai Group and Changxin Co., Ltd., but also many listed companies such as Meg Smart, Lens Technology, and old shareholders continued to follow the investment.

We can see that in May, Qingtianzu once again announced the completion of Round A and Round A+ financing, with a financing amount of several hundred million yuan.

In just a few months, this company that neither manufactures robots nor develops "brains" has rapidly grown into an embodied intelligence unicorn.

The Touchstone of Commercialization

Qingtianzu is breaking the stereotype of "renting out robots".

After robots enter real scenarios, what customers need is often not just a piece of equipment, but the working capability that can complete tasks, run continuously and obtain service guarantees. From multiple robots jointly undertaking a performance, to working in coordination in science and technology museums, commercial spaces and industrial scenarios, application demands are extending from single-machine use to clustered services of multiple models and multiple positions.

Based on this, Qingtianzu has launched a model upgrade, further extending from equipment supply-demand matching to task organization, cluster scheduling and continuous services, evolving from robot leasing to productivity services.

On the equipment supply side, in addition to Agibot, Qingtianzu has accessed nearly 20 ontology brands including Gaoqing, InnoMotion XBOT, Shouxing, You World, Zhongqing, etc. At the same time, it continues to build the global asset network scheduling capability, robot cluster operating system and operation capability. Through the comprehensive scheduling system, it organizes equipment, skills and work tasks, and converts equipment supply into deliverable productivity.

Deng Feng, the newly appointed CEO of Qingtianzu, previously stated that AI should not only stay on screens and dialog boxes, but enter the physical world in the form of embodied intelligence such as robots to solve practical problems in production and services. The way robots create value will not be limited to single-machine operation, but will move towards clustered deployment and collaborative operation. It is necessary to measure the productivity and commercial value created by robots by combining the number of robots, continuous working time and actual working efficiency.

Therefore, when robots participate in work in the form of clusters, Qingtianzu takes Worken as the core to measure the effective output of robots' autonomous operations. Through Worken, Qingtianzu hopes to gradually establish a service measurement framework that can be recorded, compared and settled, to support robot capability pricing, service delivery and continuous optimization in different scenarios.

At the same time, it upgrades the robot productivity service network — clustered services not only require equipment and technology, but also local service organizations that can undertake projects and operate continuously.

At present, 20 national operation centers of Qingtianzu have been officially put into operation, covering cities including Beijing, Shanghai, Guangzhou, Shenzhen, and Hangzhou. As the regionally rooted operation service hub for embodied intelligence, the operation centers are responsible for market expansion, project delivery, continuous service and ecological collaboration. In the first phase, Qingtianzu will also complete the layout of 54 urban service nodes.

Shifting from commercial performance leasing to serving rigid industrial demands is the real touchstone of this round of upgrading.

Looking at the bigger picture, Qingtianzu's upgrading is standing at the breakpoint of the entire embodied intelligence industry. In 2026, most of the capital and public praise went to ontology and models, but on the customer side, the problems have turned into more realistic implementation details in the industry. Therefore, the industrial chain has begun to explore the path from "selling equipment" to "paying by task results".

As a result, the seemingly lightest business of leasing may instead become the most critical layer of infrastructure. In the final analysis, it returns to that simple business logic: robots that no customers are willing to pay for will eventually fade out of the market.

This article is from the WeChat official account "PEdaily AI", author: Yang Jiyun, published with authorization from 36Kr.