Former DJI Engineers Launch Smart Tennis Ball Machine, AceiiLab, Secures Seed Funding
AceiiLab, a smart sports hardware company founded by former DJI engineers, has begun mass delivery of its intelligent tennis ball machine. The company recently closed a seed funding round exceeding 10 million yuan, with investments from Zero-One Capital, Variable Capital, and Haiyi Capital. This funding will primarily support product research and development, iteration, and market expansion. Founded in December 2024, AceiiLab aims to build an intelligent training ecosystem encompassing hardware, software, data, AI coaching, and sports services, starting with its AI tennis robot.
The company's founder, Liu Liqian, brings over a decade of robotics research and product experience from companies like DJI and KUKA. The co-founder, Chao Guang, has a background in investment institutions and robotics companies, focusing on smart hardware investment and operational growth. The team possesses extensive experience in consumer hardware exports, covering the entire product lifecycle from definition and R&D to market promotion.
AceiiLab's first product, the AceiiLab A1, features a self-developed binocular vision system and a differential drive chassis for agile movement, reaching speeds up to 5m/s. It intelligently tracks ball trajectories and player positions, simulating realistic rallies with variable ball paths and speeds. The machine offers flexible training modes, including side-by-side feeding and various line feeds, catering to different skill levels and training scenarios. The product is designed in a portable, suitcase-like form factor for easy transport. The accompanying mobile app provides ball path settings, training courses, and data analysis, with plans to develop personalized training plans based on user data.
The AceiiLab A1 previously raised over $820,000 on Kickstarter and is now entering mass production. Domestically, the company plans to launch on e-commerce platforms and is developing its next-generation product, with existing distributors having signed framework agreements worth tens of millions of yuan.
The emergence of AceiiLab highlights a growing trend in the sports technology sector, where AI and robotics are being leveraged to enhance training and user experience beyond traditional equipment. The company's strategy of focusing on "multi-space serving instead of hitting" addresses a nuanced aspect of tennis training, aiming to improve efficiency and muscle memory rather than replicating a full player interaction. This approach, coupled with a consumer-friendly design and a data-driven software ecosystem, positions AceiiLab to potentially capture a significant market share. The emphasis on accumulating user data for continuous model optimization suggests a long-term vision centered on software services as a key competitive differentiator. As AI capabilities advance, the integration of sophisticated data analytics into personalized training regimens could redefine athletic development across various sports, creating a feedback loop of improved performance and user engagement.
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