Shanghai cleaning robotics startup Jingji raises seed funding for global push
Shanghai-based cleaning robotics startup Jingji Intelligent has raised tens of millions of RMB in seed funding from Haowen Tianshu Robotics and Shanghai Lanyun Industrial Development, TechNode reported, citing PE Daily. The financing was disclosed on October 20, about a month after the company was established in September. The report described the round as seed funding and did not specify further financial terms.
Jingji Intelligent is developing cleaning robots for vertical surfaces, countertops and sanitary fixtures. Its focus extends beyond conventional floor-cleaning equipment to surfaces and fixtures that require controlled contact and precise movement. That remit covers tasks in which a robot must interact with different materials, shapes and edges rather than follow a simple, flat cleaning path.
The startup is applying force control, machine vision and precision actuation techniques from medical robotics to its cleaning systems. Force control can help a robot maintain appropriate pressure when contacting a surface, while machine vision can support identification and navigation around fixtures. Precision actuation is intended to make movements repeatable and accurate in confined or delicate cleaning scenarios.
Jingji's technical approach draws on capabilities often associated with medical robotics, where controlled motion and accurate sensing are central requirements. Adapting those techniques to cleaning requires more than transplanting hardware from one field to another. The company must tune its systems for different cost, durability and operating constraints while still achieving reliable contact with surfaces.
The company plans to keep research and development and its supply chain in China while targeting customers overseas. It has established partnerships in Australia, Spain, Singapore and Vietnam. Those partnerships are expected to support early validation as Jingji tests its products against different market requirements and deployment conditions.
Retaining R&D and supply chain operations in China while pursuing overseas customers reflects a structure common among Chinese hardware startups. It allows a company to use domestic engineering and manufacturing resources while seeking demand in international markets. For Jingji, the model also means coordinating product development in China with partner-led testing abroad.
Cleaning robotics has become an active area in service robotics, as companies look to automate repetitive maintenance tasks in commercial, industrial and public settings. Many existing systems concentrate on floors, while vertical surfaces and sanitary fixtures pose distinct challenges involving adhesion, coverage and consistent contact pressure. Jingji's focus places it in a more specialized segment of that market.
Vertical cleaning adds requirements that floor-cleaning robots do not always face. A robot may need to manage gravity, surface texture and edges around windows, walls or fixtures. Countertops and sanitary installations can add tight spaces, drains and fittings that demand gentle contact and precise coverage.
Jingji has defined its technical approach and product architecture and is now moving into product validation. The seed round comes shortly after the company's formation, giving it capital as it tests whether its cleaning systems can meet the requirements of overseas partners and real-world deployment. PE Daily's Chinese-language report identified the funding and the company's initial market plans.
The investors named in the report are Haowen Tianshu Robotics and Shanghai Lanyun Industrial Development. Their participation gives Jingji early backing, though the report did not detail the split between the two. The funding follows the company's September establishment and supports its transition from technical definition to validation.
Jingji's plan to target overseas customers while keeping R&D and supply chain in China places it among Chinese robotics startups seeking international demand for specialized hardware. The approach can shorten iteration cycles by keeping engineering close to manufacturing. It also requires the company to build service and partner networks in markets far from its base.