智驾“新人”印奇，和他的“AI+车”百亿产值目标

Core Viewpoint - Qianli Technology officially launched its brand "AFARI" after a year of low profile, with a focus on commercialization and internationalization [1][2]. Business Progress and Financials - In the first half of 2025, Qianli Technology reported a revenue of 4.184 billion yuan, marking a year-on-year growth of 40.04%, primarily driven by its predecessor Lifan Technology's automotive and motorcycle businesses [2]. - The company aims to achieve over 10 billion yuan in output value this year and scale revenue next year [4]. Product and Technology Development - Qianli Technology operates three main business segments: Qianli Intelligent Driving (L2+ to L4 level solutions), Qianli Intelligent Cabin (natural interaction cockpit experience), and Qianli Robotaxi [4]. - The company plans to commercialize its intelligent driving solutions next year, with significant advancements expected in its cabin products and Robotaxi services [4]. Internationalization Strategy - Qianli Technology emphasizes internationalization as a key strategy, aiming to capture market share globally, particularly in collaboration with overseas automotive companies [4][5]. - The company has partnered with Mercedes-Benz, which acquired a 3% stake for approximately 1.339 billion yuan, enhancing its global expansion efforts [5]. Competitive Landscape and Technology Standards - Qianli Technology aims to elevate its "含模量" (model inclusion ratio) to match international standards, currently at 80%-90% for leading overseas solutions, compared to about 50% for most domestic offerings [5][6]. - The company believes that the future of intelligent driving will rely on a combination of visual perception and large models, with a focus on reducing costs and achieving scalability [6][7]. Team and Organizational Structure - Qianli Technology's leadership emphasizes the importance of integrating strong AI model teams with robust engineering teams to drive innovation in intelligent driving solutions [16]. - The company has a workforce of nearly 2,000, which is structured to support comprehensive solutions from L2+ to L4 [17].