2026年初，印奇站在一个看似罕见却并不轻松的位置上。 他同时担任千里科技与阶跃星辰的董事长，前者是一家仍在证明自身价值的智驾公司，后者则是被寄予厚望的AI大模型公司。在外界看来，这是一次权 力与资源的进一步集中，但对印奇而言，这更像是一场提前到来的突围。 "千里智驾这套系统，我觉得要成为中国最好的智驾系统。如果量化点，就是2026年要有100万辆车以上装了千里智驾的系统。"近期，印奇在与硅星人创 始人骆轶航对话时提到2026年的三个目标，排在第一的就是千里智驾的上车量。 这并不是一个容易完成的目标，过去一年，公开渠道数据显示的国产智驾系统上车量超过100万辆的只有华为乾崑智驾，而华为乾崑智驾最新预计，到 2026年底累计搭载量将达到300万辆。 而千里科技公开披露的量产落地主要集中在吉利体系内（极氪、领克等），上车的是千里科技与吉利浩瀚系统全面整合的千里浩瀚辅助驾驶系统。尽管此 前千里科技方面表示，千里智驾还将与更多主机厂合作，但截至目前尚未见到可核实名单公开。 印奇想要实现这个新年目标，意味着千里科技已经没有太多试错空间了。 中国智驾行业发展超过十个年头，技术路径快速收敛，车企开始减少外部依赖，第三方智驾 ...

Core Viewpoint - The article discusses the rapid commercialization of L3-level intelligent driving and the increasing competition among domestic smart driving suppliers, highlighting the shift from chaotic growth to a concentration of power among leading companies [3] Group 1: G-ASD Launch and Features - Qianli Zhijia and Geely announced the launch of a new smart driving brand, G-ASD, at CES 2026, which will cover L2 to L4 levels of intelligent driving capabilities [6][14] - The first version of the G-ASD system has been installed in 16 models under the Zeekr and Lynk & Co brands, covering over 300,000 vehicles, with plans to exceed 1 million vehicles by the end of the year [6][10] - G-ASD is positioned as a software brand that integrates hardware configurations, serving as the "soul" of Geely's intelligent driving solutions [14] Group 2: Concept of "Content Modulus" - The term "content modulus" refers to the proportion of AI models in the entire intelligent driving system, indicating the system's reliance on artificial rules and high-precision maps [7][12] - A higher content modulus means greater AI autonomy in decision-making, which is essential for user safety and interaction [9][12] - Qianli Zhijia aims to enhance the content modulus to create a more user-friendly and efficient intelligent driving experience [12][19] Group 3: Strategic Partnerships and Market Positioning - Qianli Zhijia has formed a strategic partnership with Mercedes-Benz, which acquired a 3% stake for 1.34 billion yuan, marking a significant collaboration in AI technology and intelligent driving [16] - The company plans to serve 6-7 top-tier OEMs globally, focusing on deep service rather than rapid expansion to ensure quality and efficiency [17][19] - The strategy emphasizes building a platform-level intelligent driving capability that meets the needs of major OEMs, thus reducing development costs through standardization [17] Group 4: Future Outlook and Challenges - By the end of 2026, Qianli Zhijia aims to achieve core capabilities that may surpass Tesla's current level, driven by technological innovation and a strong engineering foundation [21] - The company recognizes that the biggest challenge will be multi-line delivery capabilities to various OEMs, which they are preparing for [21] - The ultimate goal is to integrate intelligent driving with smart cockpit technology to enhance user experience and trust, transforming vehicles into "mobile intelligent spaces" [25]

Core Insights - The collaboration between Qianli Zhijia and Geely has led to the launch of a new advanced driving assistance brand, G-ASD, aimed at the global market [1] - G-ASD represents a high-modularity intelligent driving solution, covering levels L2 to L4 of autonomous driving capabilities [1] - The increasing importance of large models in the evolution of intelligent driving technology is highlighted, with the concept of "modularity" being introduced as a key metric for assessing the intelligence level of driving systems [1] Technical Architecture - G-ASD employs an end-to-end model system that integrates cutting-edge AI technologies, including multimodal base models, visual language models (VLM), visual language action models (VLA), world models, and reinforcement learning [1] - The approach aims to promote global modeling from data systems, perception regulation, to evaluation systems, gradually reducing reliance on high-precision maps and rule engineering [1]

Core Insights - The article discusses the launch of a new advanced driving assistance brand, G-ASD (Geely Afari Smart Driving), by Qianli Zhijia and Geely at CES 2026, which aims to cover intelligent driving capabilities from Level 2 to Level 4 Group 1: G-ASD Overview - G-ASD is a high-modularity intelligent driving solution developed collaboratively by Qianli Zhijia and Geely, emphasizing the importance of "modularity" as a key indicator of the intelligence level of driving systems [1] - The solution leverages advanced AI technologies, including end-to-end model architecture, multimodal base models, visual language models, and reinforcement learning, to reduce reliance on artificial maps and preset rules [2] Group 2: Features and Capabilities - G-ASD offers full-scene defensive driving capabilities, proactively predicting potential risks at blind spots and suggesting safe paths, akin to an experienced driver [2] - The system enhances route selection accuracy and traffic efficiency by recognizing complex traffic signs and dynamically adjusting speed based on real-time conditions and big data [2] - G-ASD supports complex environments such as urban ring roads and underground garages, with advanced parking capabilities and a comprehensive safety matrix that extends protection to three-dimensional spaces [3] Group 3: Market Deployment - The initial version of G-ASD has been integrated into 16 models under the Zeekr and Lynk & Co brands, covering over 300,000 vehicles, with plans for further integration into more Geely models in the future [3]

Core Viewpoint - The article discusses the strategic vision of Qianli Technology, led by CEO Yin Qi, focusing on AI-driven intelligent driving solutions and the integration of various technologies to create a comprehensive ecosystem around autonomous vehicles [2][4]. Group 1: Company Strategy and Vision - Qianli Technology aims to develop a comprehensive AI ecosystem, not just as a supplier for intelligent driving but as a leader in AI technology, including AI brains, operating systems, and new AI terminals [2]. - The company has three main business areas: L2+ to L4 level intelligent driving solutions, smart cockpits, and Robotaxi services [2][7]. - Yin Qi emphasizes the importance of integrating strong AI capabilities with robust engineering skills to achieve their goals in intelligent driving [4][5]. Group 2: Team Integration and Development - The integration of various teams within Qianli Technology is seen as a critical step, with a focus on aligning goals and leveraging the collective experience of the team members [5][6]. - The company has nearly 2,000 employees and plans to deliver comprehensive solutions from L2 to L4 levels of intelligent driving [7][8]. Group 3: Technological Framework and Innovation - Qianli Technology's approach to intelligent driving involves a high "model content" ratio, focusing on visual perception and large models as the core of their technology framework [10][12]. - The company aims to increase its "model content" to 80%-90% within six months, positioning itself ahead of competitors [13][14]. - Yin Qi believes that the future of intelligent driving will be driven by large models and visual-centric solutions, moving beyond traditional sensor-based approaches [16][17]. Group 4: Market Position and Competitive Landscape - The intelligent driving industry is expected to consolidate, with only a few key players remaining, as many existing solutions are seen as redundant [28]. - Qianli Technology's model is considered replicable, but the unique conditions of the industry may limit its widespread adoption [27]. - The company is focused on international expansion, aiming to capture a significant share of the global intelligent driving market [29].

Core Viewpoint - Qianli Technology held its first press conference after rebranding, introducing the new brand name "AFARI" and discussing the integration of AI and automotive technology [1][14]. Business Segments - The core focus of the press conference was the unveiling of three major business segments: Qianli Smart Driving, Qianli Smart Cabin, and Qianli Smart Mobility, outlining the technical roadmap and implementation plans for "AI + Car" [5]. - In the smart driving sector, Qianli Technology aims to achieve a model inclusion rate of 70%-80% by the end of 2025, compared to the current industry average of 40%-50% [5][6]. - The company plans to reduce reliance on traditional rules and high-precision maps by adopting an "end-to-end model architecture" [6]. Technology and Product Development - Qianli Technology's smart driving system has been validated through real-world testing in Chongqing, utilizing a 6D multi-modal perception matrix [6]. - The product roadmap includes the release of version 1.0, which is already available, and plans for version 2.0 (L3 level) by the end of 2025 and version 3.0 (L4 level) targeting Robotaxi scenarios by 2026 [6][7]. - The smart cabin operating system "Agent OS" was introduced, featuring advanced interaction capabilities and aiming to enhance user experience in vehicles [7]. Strategic Partnerships and Investments - Qianli Technology's "Afari Plan" aims to create a unified AI brain and operating system, relying on collaboration with partners like Geely for support in manufacturing and funding [9][10]. - Geely's integration of its smart driving team into Qianli Technology has created a research and development cluster of approximately 3,000 personnel [10]. - Mercedes-Benz acquired a 3% stake in Qianli Technology for 1.339 billion yuan, signaling international collaboration and support for the company's technological capabilities [14]. Market Position and Financial Performance - The company is positioned to capitalize on the growing market for smart connected vehicles, with projections indicating a global market size of $1.5 trillion by 2025 [11]. - Qianli Technology reported a revenue of 4.184 billion yuan for the first half of 2025, reflecting a year-on-year growth of 40.04%, and a net profit of 31.17 million yuan, up 19% [15].

Core Viewpoint - The article discusses the strategic vision of Qianli Technology, led by CEO Yin Qi, focusing on AI-driven intelligent driving solutions and the integration of various teams to enhance their capabilities in the automotive sector [1][3]. Group 1: Company Strategy and Vision - Qianli Technology aims to establish itself as a leader in AI and intelligent driving, with a comprehensive plan that includes not only autonomous driving but also AI systems and new AI terminals [1][3]. - The company has integrated teams from Geely and other subsidiaries to create a unified approach towards developing intelligent driving solutions, emphasizing the importance of both AI-native capabilities and strong engineering skills [4][5]. - The focus areas for Qianli Technology over the next three years include intelligent driving, smart cockpits, and Robotaxi services, which are seen as critical industry challenges to address [6][7]. Group 2: Technological Development and Market Position - Qianli Technology is working towards commercializing its AI solutions for intelligent driving, with expectations of generating significant revenue starting next year [9]. - The company is confident in enhancing its "含模量" (content ratio of models, rules, and maps) to 80%-90% within six months, positioning itself competitively against other market players [12][13]. - The article highlights the belief that future intelligent driving solutions will be driven by large models and visual perception, moving away from traditional sensor-based approaches [16][21]. Group 3: Industry Trends and Competitive Landscape - The intelligent driving industry is expected to consolidate, with fewer suppliers emerging as leaders, as many existing solutions are seen as redundant [27][28]. - Qianli Technology's approach to collaboration with OEMs and its open platform strategy is viewed as a model that could be replicated across the industry, although the timing and context may vary [25][26]. - The company aims to capture a significant share of the global intelligent driving market, emphasizing the importance of international expansion as a core strategy [29].

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].