Animal Husbandry Embodied AI Company Completes Tens of Millions of Yuan in Financing, Incubated by Sky Factory Venture Capital Fund | Exclusive Report by Yingke

Author | Qiao Yujie

Editor | Yuan Silai

Yingke has learned that Nvwa Agricultural Technology (Shenzhen) Co., Ltd. (hereinafter referred to as "Nvwa Agricultural Technology") recently completed tens of millions of yuan in financing, with Xiamen Guosheng Fund as the investor. This round of financing will be mainly used for core technology R & D, product engineering upgrades, and large - scale implementation.

Founded in December 2025 and incubated by Sky Workshop Venture Capital Fund, Nvwa Agricultural Technology focuses on the intelligent upgrade of the livestock industry. It is committed to entering the traditional livestock breeding scenario with embodied intelligent robots. Through an integrated solution of "cleaning + health monitoring", it aims to improve breeding efficiency, optimize the labor structure, and strengthen the ability of biosafety management.

Luo Hao, the founder of the company, has held management positions in large agricultural and livestock enterprises such as New Hope and Zhengbang Technology. He has extensive experience in building businesses from scratch and large - scale operations. He has long been deeply involved in the front - line scenarios of the agricultural and livestock industry and has a profound understanding of industry pain points and management logic. Guo Peng, the CTO, has worked in companies such as ABB's discrete automation applications and JD Logistics Technology. He has participated in projects related to six - axis robots, AGV/AMR systems, and the integrated application of intelligent supply - chain software and hardware. He has experience in technology productization and commercial implementation of scenarios and is responsible for the construction of the company's robot system architecture and engineering system. The overall team has the dual - wheel driving force of "industry understanding + engineering implementation".

In the field of livestock breeding, cleaning, disinfection, and health inspections have long relied on manual labor, which is a typical high - intensity and high - risk operation scenario. With the increasing proportion of large - scale breeding and the continuous rise of labor costs, the demand for automation substitution is becoming increasingly clear.

Globally, the application of overseas livestock robots is mostly concentrated in scenarios such as dairy farms with relatively open spaces and high standardization levels. In China, scenarios such as pig farming have more compact spaces and complex structures, which pose higher requirements for the mobility and environmental adaptability of robots. Currently, the domestic automation level in feeding and environmental control is relatively high, but in deeply coupled scenarios such as cleaning, inspection, and health monitoring, mechanized or semi - automatic equipment is still the mainstay, and embodied intelligent products are still in the exploration stage. Nvwa Agricultural Technology has entered the market precisely in this structural gap.

Relying on the technical support of Tsinghua Sky Factory and related research institutions, the company independently developed the livestock embodied intelligent robot product - "Nvwa Cleaning Robot". Different from traditional cleaning equipment, this product integrates cleaning, disinfection, and AI health monitoring capabilities into the same physical carrier, positioning itself as the "mobile cleaning unit + data collection node" of the farm.

The livestock scenario poses multiple complex requirements for robots: the equipment needs to withstand high - humidity and highly corrosive conditions for a long time; the ground is often covered with a mixture of feces and feed residues; there are various complex structures such as stagnant water, slopes, grilles, and gaps in the venue; in addition, the dynamic changes in space caused by animal activities further increase the difficulty of operations. Moreover, the goal of breeding cleaning is not only surface cleanliness but also emphasizes the reduction of microbial and pathogen loads. Therefore, higher standards are put forward for the robot system in terms of cleaning path planning, disinfection coverage, and operation traceability.

To address the above difficulties, Nvwa Agricultural Technology has deeply embedded AI capabilities into its product system. Luo Hao, the founder of the company, introduced in an interview with Yingke that AI capabilities mainly undertake two functions in the product: one is to identify abnormal animal behaviors and health status based on multi - modal perception, forming risk warnings and graded work orders; the other is to intelligently schedule and optimize cleaning and disinfection tasks, enabling the robot to continuously iterate the operation model in different scenarios. The data sources include the robot's sensing system and breeding - end business data, which are combined with the farm's SOP to continuously optimize the model parameters in actual operation.

At the hardware level, the product uses a high - speed brushless motor and a customized structural design to adapt to high - load cleaning and disinfection working conditions. Currently, the core product is in the engineering verification stage, and the company is working with breeding enterprises to sort out real operation processes and biosafety standards. The company has reached cooperation intentions with some breeding enterprises, and relevant customers plan to make the first - batch purchases or jointly build demonstration farms after the complete - scenario testing is completed.

After the completion of this round of financing, the company will focus on promoting product engineering and reliability system construction, large - scale collection of real - scenario data, optimization of AI recognition accuracy and warning models, and forming a closed - loop system from risk identification, work - order generation, disposal review to model iteration. It will continuously build product and data capabilities around "embodied intelligence + livestock scenarios" to promote the evolution of farms from single - point automation to systematic intelligence.