卓世科技完成数亿元Pre-IPO轮融资，国泰君安创新投、优必选等共同投资

Core Insights - Zhuoshit Technology has completed a Pre-IPO financing round amounting to several hundred million yuan, with investments from Guotai Junan Innovation Investment, UBTECH Technology, and others, aimed at enhancing R&D in industry large models and intelligent agents [1][4] - The company focuses on the "AI to B" sector, leveraging its self-developed "Xuanji Yuheng" MoE large model with hundreds of billions of parameters to provide scalable and cost-effective AI solutions across various industries [3][4] Financing and Investment - The recent financing will primarily be used to increase R&D investment in industry large models and intelligent agents, and to expand application scenarios [1][4] - The successful financing round signifies a strategic shift for the company from having product technology advantages to achieving large-scale industrial empowerment [4][5] Company Overview - Founded in 2018, Zhuoshit Technology has established itself as a leader in the AI industry, with a comprehensive technology stack that includes model platforms, data platforms, and intelligent agent platforms [3][4] - The company has received multiple recognitions, including being listed as a national high-tech enterprise and holding over a hundred AI model invention patents [4] Strategic Partnerships - Strategic partners, including Guotai Junan Innovation Investment and UBTECH Technology, have expressed high recognition of Zhuoshit Technology's technical strength and strategic value [5] - The collaboration between Zhuoshit Technology and UBTECH is seen as a perfect combination of embodied intelligence and general AI brain, crucial for the intelligentization of humanoid robots [5] Future Outlook - Zhuoshit Technology aims to accelerate the commercialization of embodied intelligence in industries such as manufacturing, leveraging its large model and intelligent agent capabilities [1][5] - The company is positioned to play a significant role in the AI industrialization wave in China, focusing on transforming AI technology into productivity across various sectors [5]