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云蝶科技亮相文投会,AI+教育工业双轮驱动
2 1 Shi Ji Jing Ji Bao Dao· 2025-11-28 07:37
Core Insights - Guangzhou Yundie Technology Co., Ltd. (Yundie Technology) showcased its advancements in artificial intelligence (AI) at the 2025 Guangdong-Hong Kong-Macao Greater Bay Area Cultural Industry Investment Conference, highlighting its dual-driven development model of "AI + Education" and "AI + Industry" [1] - The company, established in 2019, has built a comprehensive AI product system and serves over 4,000 B-end clients nationwide, with projected AI business revenue reaching several hundred million yuan by 2025 and an active push towards an IPO [1] Group 1 - Yundie Technology has developed an integrated solution capability from underlying algorithms, smart hardware to application software, particularly in the education sector with products like regional education big data platforms and smart management platforms [2] - In the industrial sector, the company focuses on digital parks and industrial internet scenarios, creating products such as real-time twin platforms and smart control platforms, which have become stable revenue sources with good growth trends [2] - The business model is centered around self-developed products, ensuring delivery quality and allowing the company to continuously accumulate industry experience for product and service optimization [2] Group 2 - Yundie Technology's self-developed "Xingzhi Large Model" is one of the first enterprises in Guangdong to be filed with the National Internet Information Office, marking it as the first educational research large model in the country [3] - The company has achieved scalable revenue in large model-related businesses by collaborating with Guoshengtang Traditional Chinese Medicine to develop a specialized model for AI consultation services [3] - Yundie Technology has also established a joint laboratory with Peking University focused on embodied intelligence, addressing data bottlenecks in the industry and showcasing advancements in video generation technology [3] Group 3 - The company has a team structure that combines scientific leadership with industry experience, with its chief scientist being a globally recognized scholar in AI, providing forward-looking guidance for technology development [4]