Bozhan Robotics Completes First Institutional Financing Round of Several Million Yuan

Shanghai Bozhan Robot Co., Ltd. (hereinafter referred to as “Bozhan Robot”) is a high-tech enterprise focusing on the research, development, and application of underwater robots. According to news from Investment Circle on November 11, Bozhan Robot recently Completed the first round of institutional financing of tens of millions of yuan, led by Daotong Investment, with Shida Bo following. This round of funds will be mainly used for core product R&D, large-scale production, and global market service network expansion.

Park Exhibition Robotics starts from real port operation requirements, deeply understands actual working conditions on the front line, and carries out product R&D around the complete operation process to create reliable, replicable, and scalable industrial-grade underwater robot systems. Its independently developed Metis series hull cleaning robots integrate modules such as underwater visual recognition, AI path planning, hull suction, and cavitation cleaning, and possess remote operation and operation data visualization capabilities, facilitating management decisions and traceability.

Park Exhibition Robot has built a core technical system of “stable adhesion, high-precision positioning, autonomous path planning, and autonomous cleaning.” Through stable suction technology, it provides a reliable foundation for perception and motion control; by integrating multi-source information such as vision, inertial measurement, and odometry, it achieves centimeter-level underwater positioning, combined with real-time hull modeling to identify work positions and cleaning coverage; on this basis, it autonomously plans and executes cleaning tasks within designated areas, without the need for dedicated operators to provide continuous remote control.

Bozhan Robot also balances cleaning efficiency, coating protection, and quality verification, forming a complete intelligent cleaning solution: Efficient operation: Single machine cleaning efficiency is approximately 700㎡/h, dual machine synergy can reach 1400㎡/h, and area operation efficiency is approximately 7 times that of a single traditional diver; Coating protection: Adopts cavitation jet cleaning technology to effectively remove marine biological attachments such as barnacles and shellfish, balancing cleaning effects with hull anti-fouling coating protection under applicable process conditions; Digital delivery: The operation process synchronously records cleaning paths, coverage areas, and cleaning results, forming a standardized cleaning report, achieving traceability of the operation process and verifiability of the cleaning results.

Regarding team members, the engineering practice of the founder of Bozhan Robot spans the fields of aviation equipment, automobile manufacturing, and underwater operations.

Regarding commercial landing, currently, Bozhan Robot has completed multiple rounds of real ship verification in domestic core ports such as Ningbo, Nansha in Guangzhou, Beibu Gulf, and Qingdao, and has established multiple normalized operation bases.

In the domestic market, the company has reached a cooperation with a certain large domestic energy shipowner and has implemented real ship operations in Ningbo Port, marking the company's official participation in the normalized operation and maintenance of top-tier shipowners. In the overseas market, a professional operator in Singapore with over 30 years of experience in ship underwater services, after a comprehensive investigation of the products and actual operation performances of several mainstream manufacturers globally, finally chose Bozhan Robot and plans to gradually replace existing cleaning solutions with Bozhan's automated systems within the next three years.

Hull cleaning is the first commercial scenario for Bozhan robots to enter the underwater intelligent operation market. In the future, Bozhan robots will continue to push core capabilities toward more scenarios such as underwater inspection, maintenance, and rust removal, gradually building an underwater intelligent operation platform covering the entire lifecycle of ships.

At the same time, the spatial, imaging, and cleaning data accumulated by robots during the operation process will gradually form traceable digital archives of ship underwater maintenance, providing data support for fleet energy efficiency management, carbon emission reduction accounting, and future digital services.