群核科技： 以空间智能为核心 成为AI时代“卖水人”

Core Insights - The article discusses the increasing influence of AI technology and the role of spatial intelligence in various industries, highlighting the efforts of Qunkong Technology in integrating 3D data with AI capabilities for applications in design, digital twins, robotics training, and content creation [1][3]. Product Matrix Development - Qunkong Technology has accelerated the release of new products, including the 3D AI content creation tool LuxReal, aimed at e-commerce professionals and filmmakers, which efficiently generates video content while maintaining spatial consistency [2]. - The company introduced several platforms, such as SpatialVerse for interactive training data, SpatialTwin for industrial AI applications, and an AI design platform on Cool Home, which has launched an overseas version targeting markets in South Korea, Thailand, and Europe [2]. Strategic Vision - CEO Chen Hang emphasized the importance of data in AI applications, noting the scarcity of real data in the spatial intelligence field and the company's development of a data "flywheel" over the past 14 years [3]. - Chairman Huang Xiaohuang stated that the company is focusing on building core capabilities and is open to external collaborations, indicating a commitment to long-term growth across various sectors [3]. Industrial Scene Exploration - At the World Internet Conference, Qunkong Technology unveiled the SpatialTwin platform, which aims to enhance digital twin systems in factories as more intelligent robots are integrated [4]. - The platform is designed to utilize high-density simulation computing power and facilitate real-time collaboration among participants, improving operational efficiency and reducing costs in industrial settings [5]. Expansion into Embodied Intelligence Market - Qunkong Technology is broadening its business scope from spatial design to content creation and embodied intelligence, positioning itself as a provider of spatial intelligence infrastructure [6]. - Collaborations with companies like Moxianfei and Digua Robot aim to innovate robot simulation training solutions, addressing the challenges posed by diverse hardware and data formats in the industry [6]. Future of Training Data - Huang Xiaohuang noted that some clients currently use a 9:1 ratio of simulation data to real data, with expectations that the reliance on digital training will increase as technology evolves [7]. - The company believes that spatial intelligence is crucial for the future development of the robotics industry, enabling robots to understand and operate effectively in the physical world [7].