Core Viewpoint - The actual controller of Kesi Technology, Liu Jiande, is under investigation by the National Supervisory Commission, but the company's control remains unchanged and normal operations continue [2][5]. Company Overview - Kesi Technology, established in 2003, specializes in command and control information processing equipment and systems, software radar information processing equipment and systems, and intelligent unmanned devices and systems. It has been referred to as the "Chinese version of military Palantir" [5][6]. Recent Developments - Liu Jiande's investigation is a personal matter, and the company has not been asked to assist in the investigation. The management of daily operations is handled by senior management, and the board of directors is functioning normally [5]. - The company has a robust governance structure and internal control mechanisms in place, ensuring that production and operational conditions remain stable [5]. Financial Performance - Kesi Technology's revenue dropped significantly in 2022, falling to 233 million yuan, a year-on-year decline of 62.20%. Over the past three years, the company's revenue has remained between 200 million and 250 million yuan, with a total net loss exceeding 700 million yuan [8]. - The stock price has also declined sharply, from a peak of 117 yuan per share at the time of listing to around 14 yuan per share [8]. Management Changes - Since June 2023, Kesi Technology has undergone a significant management reshuffle, leading to increased investor interest. Liu Zonglin has been appointed as the chairman and non-independent director [8][9]. - The new management team includes Shen Jian as the general manager, who has extensive experience in command information systems [9]. Stock Performance - Following the management changes, Kesi Technology's stock price has doubled in just 19 trading days [10].

Group 1 - The company expects a net loss attributable to shareholders in the range of 11 million to 21 million yuan for the current reporting period, compared to a loss of 16.40 million yuan in the same period last year [1] - The net loss after deducting non-recurring gains and losses is projected to be between 15 million and 25 million yuan, compared to a loss of 18.57 million yuan in the previous year [1] - The basic earnings per share is expected to be a loss of 0.05 to 0.10 yuan per share, compared to a loss of 0.08 yuan per share last year [1] Group 2 - The primary reason for the net loss is the restriction on military procurement, which has limited the company's ability to secure new orders and complete projects for military clients [2] - Increased market competition has led to a decline in the gross profit margin of some products compared to the same period last year [2] - The company is focusing on expanding into new markets and businesses, particularly in areas aligned with national strategic emerging industries, such as low-altitude economy, low-orbit connectivity, autonomous driving, AI applications, robotics, and anti-drone technologies [2]

Core Insights - The article highlights the rise of Beijing Huajian Yunding Technology Co., Ltd. as a key player in the defense sector, focusing on the innovation of intelligent technologies in national defense [1][4] - The company aims to establish a solid technological barrier for national defense through continuous technological innovation and product upgrades [2][4] Company Overview - Beijing Huajian Yunding Technology Co., Ltd. is dedicated to the development of intelligent technologies in the defense sector, emphasizing core areas such as edge computing, command and dispatch, simulation, and Beidou navigation [2] - The company has developed a comprehensive domestic solution from chip replacement to system integration, achieving self-control in both hardware and software [2][3] Technological Advancements - The company has created an integrated command and dispatch system that features full-scene replay, intelligent communication, and inspection functions, supporting tactical review and unmanned operations [2] - A lightweight edge computing center has been developed to meet the stringent requirements of military scenarios for low latency and high-security computing power [2] Company Culture and Team Development - The company emphasizes corporate culture and team building, promoting a core value of "patriotism and value contribution" to encourage employees to prioritize national and ethnic interests [2] - Clear short-term and long-term goals, along with effective team structure adjustments and incentive mechanisms, have been established to enhance overall team efficiency and innovation capabilities [2] Challenges and Strategies - Despite significant advancements in intelligent technologies for national defense, the company faces challenges, particularly regarding financial pressures [3] - To alleviate financial strain, the company has implemented various measures, including bank loans, cost reduction, and seeking external financing and partnerships [3] Future Plans - The company plans to increase research and development investment to drive technological innovation and product upgrades, aiming to become a leader in industry innovation [4] - There is a commitment to expanding market channels and strengthening cooperation with upstream and downstream enterprises to build a comprehensive industrial ecosystem [4]

Summary of Key Points from Conference Call Records Industry and Companies Involved - The conference call discusses the performance and trends in the AI application sector, particularly focusing on companies like Duolingo, Palantir, and Applovin, as well as the education industry and programmatic advertising in China [1][4][8]. Core Insights and Arguments - **Growth in AI Applications**: The AI application sector in the US stock market is expected to see significant growth starting in the second half of 2024, with companies like Duolingo, Palantir, and Applovin reporting revenue and profit that exceed expectations, leading to stock price increases of 5-10 times [1][4]. - **Duolingo's Performance**: Duolingo has integrated GPT-4 into its platform, launching Duolingo Max, which has led to a 44% year-over-year increase in daily active users to 46 million and a 40% increase in paid subscribers to 10.3 million [1][9]. - **Palantir's Financials**: Palantir reported Q1 revenue of $884 million, a 39% year-over-year increase, with net profit rising 130% to $214 million. The company raised its full-year revenue guidance to $3.89 to $3.92 billion, reflecting a 20% growth [3][11]. - **Applovin's Advertising Growth**: Applovin's Q1 revenue reached $1.5 billion, with a 71% growth in advertising business and a non-GAAP profit margin of 81%. The company holds a 28% market share in game advertising and is expanding into the e-commerce advertising market [1][5][6]. - **AI and Programmatic Advertising**: The combination of AI and programmatic advertising offers insights for domestic companies like Tencent and Kuaishou, potentially increasing app display time and conversion rates [1][8]. Other Important but Potentially Overlooked Content - **Challenges in Education Sector**: The education industry faces challenges in producing large-scale, low-cost, high-quality educational products. AI technology can enhance personalized education but is limited by cost and precision issues [9][10]. - **Domestic AI Adoption**: Chinese education companies are adopting low-cost AI technologies to upgrade their products, with companies like Haotian and Anlian Education utilizing models like DeepSeek [3][10]. - **Future of AI in Enterprises**: The core challenge for enterprise AI applications lies in data governance. Companies that can manage data effectively are likely to benefit in the future [12][16]. - **Potential of Domestic Companies**: Companies like Fourth Paradigm are seen as potential equivalents to Palantir in China, focusing on data training platforms and data governance [17]. This summary encapsulates the key points from the conference call records, highlighting the performance of specific companies, industry trends, and the implications for future developments in AI applications.

Group 1 - Huali Chuangtong (300045.SZ) released its 2024 annual report on April 18, 2025, with 113 institutional investors holding a total of 29.1988 million A-shares, accounting for 4.41% of the total share capital [1] - The top ten institutional investors collectively hold 3.71% of the shares, with a decrease of 0.30 percentage points compared to the previous quarter [1] Group 2 - In the public fund sector, one fund, Guotai CSI Military Industry ETF, increased its holdings, while two funds, Southern CSI 1000 ETF and Huaxia CSI 1000 ETF, decreased their holdings by 0.27% [2] - A total of 109 new public funds were disclosed this period, including funds like Fuguo CSI Military Index A and GF CSI 1000 ETF [2] - One foreign fund, Hong Kong Central Clearing Limited, reduced its holdings slightly compared to the previous quarter [2]

Investment Rating - The report maintains an "Accumulate" rating for the defense and military industry [6]. Core Insights - The integration of AI in the military sector is becoming a significant trend, with "intelligence supremacy" emerging as a key factor in modern warfare. The advent of AI technologies, particularly since the launch of ChatGPT in 2022, has accelerated the application of large models across various industries, including defense [1][11]. - The report highlights the rapid rise of companies like Palantir, which has seen its market value increase nearly 20 times since the beginning of 2023, surpassing traditional defense contractors [2]. - The report emphasizes the importance of identifying China's equivalent to Palantir by understanding how AI can empower the military industry and pinpointing critical segments within the AI military supply chain [2][3]. Summary by Sections AI Empowerment in Military - AI is transforming military operations through various applications, including: 1. Command, Control, and Decision-Making: AI assists in battlefield decision-making [2]. 2. Intelligence, Surveillance, and Reconnaissance (ISR): AI significantly enhances military efficiency, reducing OODA loop times [2]. 3. Unmanned Equipment: AI is driving advancements in autonomous operations and collaborative systems [2]. 4. Equipment Development: AI is enabling new models for weapon development, such as enhanced industrial software [2]. 5. Simulation and Training: AI is providing high-fidelity and cost-effective military simulation and training systems [2]. AI Military Supply Chain - The AI military supply chain consists of three segments: 1. Upstream: Data and computing power [3]. 2. Midstream: Algorithms and models [3]. 3. Downstream: Applications in command decision-making, intelligence analysis, unmanned equipment, and production assistance [3]. - The report suggests focusing on midstream companies that possess core databases and vertical algorithms, akin to Palantir's business model [3]. Investment Recommendations - The report recommends a dual strategy for investing in the "AI + Military" sector: 1. Target companies that align with Palantir's business model, possessing military data, algorithms, and application experience, such as Kesi Technology and Zhongke Xingtu [4]. 2. Explore companies expanding AI into unmanned equipment and development, including Jingpin Special Equipment, Zhongwu Drone, Xibu Materials, and Huaru Technology [4].