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独家丨90亿港元,极视角港交所敲钟!34岁澳门青年带来“AI视觉大模型第一股”
创业邦· 2026-03-30 04:15
Core Viewpoint - The article highlights the successful IPO of Shandong Jishijiao Technology Co., Ltd. (referred to as "Jishijiao"), an AI computer vision algorithm platform, which has seen significant growth in revenue and market presence since its inception in 2015 [4][8][24]. Company Overview - Jishijiao was founded by three university classmates, including Chen Zhenjie, who has a background in business management from Peking University and a keen interest in AI technology [7][10]. - The company focuses on providing end-to-end AI computer vision solutions across various industries, with a community of over 100,000 AI algorithm developers and a marketplace showcasing 1,517 algorithms [7][15]. Financial Performance - Jishijiao's revenue has grown from 102 million RMB in 2022 to 128 million RMB in 2023, and is projected to reach 257 million RMB in 2024, with a gross margin increase from 30.6% in 2022 to 44.9% in the first three quarters of 2025 [8][22]. - The company reported a profit of 871,000 RMB in 2024 after previous losses, indicating a turnaround in financial performance [22]. Market Position - As of 2024, Jishijiao ranks eighth in the emerging enterprise-level computer vision solutions market in China, holding a market share of 1.6% [29]. - The market for enterprise-level computer vision solutions is expected to grow from 2.2 billion RMB in 2020 to 11.1 billion RMB in 2024, with a compound annual growth rate of 49.9% [28]. Business Model - Jishijiao operates as a platform company, connecting algorithm developers with enterprise clients, which allows for efficient service delivery and cost reduction [30][31]. - The company has transitioned from a simple intermediary to a provider of standardized AI solutions, focusing on both off-the-shelf and customized offerings [18][31]. Future Directions - The company plans to enhance its AI visual language model to address more general recognition needs and assist enterprises in their AI transformation processes [33].