机器人租赁生态平台「万机易租」完成天使轮融资，加速机器人商用全国网络布局

Core Insights - The article discusses the launch and funding of "Wanjiyi Rental," the first nationwide all-scenario robot rental ecosystem platform in China, which has completed its first round of angel financing to expand its service network and enhance technology [2][3]. Group 1: Company Overview - Wanjiyi Rental aims to cover over 300 cities in China and has already established a service network in 30 core cities with more than 300 service providers [5]. - The platform utilizes an AI intelligent matching system and a digital operation platform to facilitate the rental of various types of robots for different applications, including performances, cleaning, education, and companionship [3][5]. Group 2: Business Model and Strategy - The company operates on a "Didi + Taobao" style shared economy model, breaking down barriers between supply (robot manufacturers, agents, and idle equipment holders) and demand (commercial performances, social services, elderly care institutions, families, schools) [3]. - Wanjiyi Rental focuses on lightweight leasing to make robots accessible to households, allowing users to rent robots on-demand through a mini-program, thus promoting flexibility and cost-effectiveness [3][5]. Group 3: Funding and Partnerships - The first round of financing was backed by prominent entrepreneurs and investors, including the chairman of DeMa Technology and founders of various companies, indicating strong industry support [4]. - The platform has formed strategic partnerships with leading national chains like "Lao Wang" and "Cartoon Paradise," accelerating the implementation and scalability of its services [5]. Group 4: Future Plans - Wanjiyi Rental plans to achieve nationwide coverage in over 300 cities by 2026, with multiple access points including mini-programs, apps, and online stores for on-demand rentals [5]. - The company aims to enhance its operational capabilities by providing a full chain of services from ordering to technical support, ensuring rapid delivery within 72 hours [5].