Core Insights - The WISE 2025 conference emphasizes the transition of AI from theoretical models to practical applications, focusing on the challenges of productization in the AI industry [2][6] - The essence of enterprise-level AI is not just a generic model but a precise replication of specific job knowledge and data permissions [3][10] - Dipo Technology, as a representative in the Data+AI sector, aims to deepen the integration of AI technology with business scenarios to enhance industrial value [2][12] Group 1: AI Productization Challenges - The main challenge in AI productization is the ability to handle non-standardized data, cross-knowledge modeling, and ensuring 100% accurate data integration [3][10] - Dipo Technology has implemented AI solutions across various industries, including manufacturing, retail, transportation, and healthcare, demonstrating the technology's integration into business processes [3][12] - The transition from a sample to a product requires systematic refinement and collaboration across technology development, scenario adaptation, data governance, and knowledge accumulation [6][7] Group 2: Specific Applications and Solutions - Dipo Technology's AI solutions include DataDense for decision-making roles and specialized models for professionals in fields like construction and mechanical processing [12][13] - The company is also developing AI applications for frontline operational roles, aiming to optimize workflows and lower operational barriers [13] - The successful implementation of AI in enterprises hinges on three key factors: complex data governance, effective modeling, and accurate data assembly [13]

Core Viewpoint - Dipu Technology Co., Ltd. officially listed on the Hong Kong Stock Exchange on October 28, raising a total of HKD 710 million through the issuance of 26.632 million shares at an offer price of HKD 26.66 per share [1] Company Overview - Founded in 2018, Dipu Technology specializes in enterprise-level AI applications, leveraging a "full-stack technology closed loop + commercial proof" dual advantage to gain recognition in the capital market [5] - As the fifth company in the 18C special technology sector, Dipu Technology fills a gap in the Hong Kong stock market for this niche and positions itself as a key player ahead of the enterprise-level AI explosion [3] Financial Performance - Revenue is projected to grow from CNY 100 million in 2022 to CNY 243 million in 2024, representing a compound annual growth rate (CAGR) of 55.5%. In the first half of 2025, revenue further increased to CNY 132 million, a year-on-year growth of 118.4% [5] - Gross margin is expected to rise from 29.4% in 2022 to 51.9% in 2024, with the first half of 2025 exceeding 55.0%. The adjusted net loss rate has narrowed to 39.5%, demonstrating the company's commercial viability of the "Data + AI" approach [5] Technological Advancements - Dipu Technology has developed two core solutions: FastData and FastAGI, supported by the FastData Foil data fusion platform and the Deepexi enterprise-level model platform. The FastAGI solution has shown remarkable performance, generating CNY 73.07 million in revenue in the first half of 2025, a year-on-year increase of 191.04%, accounting for 55.3% of total revenue [5] Fund Utilization Strategy - The funds raised from the IPO will be allocated as follows: 40% for R&D upgrades, 30% for expanding the domestic sales network, 15% for overseas business expansion, 5% for strategic investments and acquisitions, and 10% for working capital. This strategic plan aims to strengthen the company's technological barriers and accelerate its global expansion [6]

Core Viewpoint - Deep Technology Co., Ltd. has officially listed on the Hong Kong Stock Exchange, becoming the first stock in the enterprise-level AI application sector, with a total fundraising of HKD 710 million and a significant initial trading surge [4][8]. Company Overview - Established in 2018, Deep Technology is a leading player in the enterprise-level AI application field in China, recognized for its dual advantages of "full-stack technology closed loop + commercial verification" [8][12]. - The company has achieved substantial revenue growth, with projections showing an increase from CNY 100 million in 2022 to CNY 243 million in 2024, representing a compound annual growth rate (CAGR) of 55.5% [8][12]. Financial Performance - In the first half of 2025, Deep Technology's revenue reached CNY 132 million, marking a year-on-year increase of 118.4%, significantly outpacing industry averages [8][12]. - The gross margin improved from 29.4% in 2022 to 51.9% in 2024, with a further increase to over 55.0% in the first half of 2025, indicating enhanced profitability [8][12]. Technological Advancements - The company has developed two core solutions: FastData and FastAGI, with the latter generating CNY 73.07 million in revenue in the first half of 2025, a year-on-year growth of 191.04% [9]. - Deep Technology serves 283 enterprise clients across various sectors, demonstrating its strong market validation and technical implementation capabilities [9]. Market Context - The enterprise-level AI sector is experiencing a dual explosion of policy support and industrial demand, with the Chinese AI model solutions market expected to exceed CNY 30.6 billion by 2029, growing at a CAGR of 54.5% [10][12]. - The company is positioned to capitalize on this growth, with 78% of Chinese enterprises deploying AI applications in at least one business function by 2025 [10]. Strategic Initiatives - The funds raised from the IPO will be allocated as follows: 40% for R&D upgrades, 30% for expanding domestic sales networks, 15% for overseas business expansion, and 5% for strategic investments and acquisitions [11]. - Deep Technology aims to leverage its listing to enhance its technological barriers and accelerate its global expansion, transitioning from a domestic leader to a global benchmark in enterprise-level AI [11][12].