Core Viewpoint - The company aims to create a groundbreaking AI company similar to OpenAI, focusing on original innovation in embodied intelligence [4][5][47]. Background and Experience - Wang Qian, the founder, has a diverse academic background, including a degree in electronic engineering from Tsinghua University and a PhD in Robotics Learning from USC, which contributes to his unique perspective in the AI field [4][6]. - He has been involved in neural networks since 2009 and was one of the earliest adopters of deep learning in China, missing a significant opportunity for a Turing Award-level discovery [5][8]. Investment and Funding - The company recently completed a 1 billion RMB A++ round of financing, led by ByteDance, indicating growing investor confidence in its vision [5][47]. - Wang Qian believes that the Chinese capital market often undervalues unique technological innovations, which has made early-stage financing challenging [47]. Technological Approach - The company is focused on developing an end-to-end embodied intelligence model, rejecting traditional layered or specialized models, which Wang argues have not yielded significant results over the past 80 years [26][29]. - Data quality is emphasized as the primary bottleneck in improving model performance, with a shift in focus from model algorithms to data collection and quality [30][41]. Market and Competitive Landscape - The company perceives a clear distinction between its AI-driven approach and competitors focused on traditional robotics, which do not integrate AI effectively [61][62]. - Wang Qian predicts that the commercialization of robotics will begin in earnest by 2026, with the company aiming to achieve positive ROI in specific applications such as household chores and industrial tasks [57][60]. Future Vision - The company aspires to be a leader in the field of embodied intelligence, with a long-term goal of achieving significant advancements akin to those of OpenAI [47][65]. - Wang Qian expresses confidence in the potential of Chinese companies to excel in the AI sector, particularly in the foundational stages of development [64].