Summary of SenseTime Conference Call Company Overview - **Company**: SenseTime - **Date**: September 18, 2025 Key Points Industry and Company Performance - SenseTime's overall revenue increased by 36% year-on-year, with generative AI business growing by 73%, accounting for 77% of total revenue, indicating significant revenue scale advantages in the generative AI sector [2][3] - The company has narrowed its adjusted net loss by 50% year-on-year, attributed to revenue and gross profit growth, as well as improved accounts receivable quality [2][4] Financial Adjustments - SenseTime has restructured its financial reporting to categorize revenue into three segments: generative AI, visual AI, and X innovation business, aiming for clearer visibility of core business drivers [2][6] - The company reduced accounts receivable provisions by approximately 450 million RMB, reflecting better collection quality in generative AI compared to other segments [4] X Innovation Business Progress - SenseTime has made significant progress in its X innovation business, with two subsidiaries successfully financing and achieving market presence, enhancing overall competitiveness [2][7] Market Dynamics and Capital Market Impact - The global capital market's deepening understanding of generative AI has positively impacted SenseTime's development, leveraging its decade-long experience in visual AI for infrastructure investment and algorithm breakthroughs [2][8][9] Infrastructure and Model Development - Generative AI infrastructure encompasses not only GPU scale but also software, industry understanding, and data capabilities, requiring tailored training and optimization for specific scenarios [4][11] - SenseTime has developed multi-modal models, with successful commercial applications in finance, education, and e-commerce, showcasing the potential of dynamic fusion models [4][19] Agent Capabilities - SenseTime's "Xiaohuanxiong" product line has shown strong user engagement and conversion rates, indicating effective application of generative AI technologies in various industries [13][14] Strategic Focus and Future Goals - The company emphasizes the importance of end-to-end delivery solutions tailored to customer needs, rather than merely providing raw computing power [16] - SenseTime is committed to achieving profitability but has not set a specific timeline due to the complexities involved in revenue and cost structures [20] Challenges and Innovations - Current market skepticism regarding the ceiling of generative AI models has prompted SenseTime to pivot towards multi-modal integration, focusing on hardware and customer scenarios for enhanced interaction [18][19] Competitive Landscape - The company recognizes the rapid changes in technology and customer demands within the generative AI space, highlighting the need for adaptability and innovation to maintain competitive advantage [10][12] Additional Important Insights - SenseTime's strategic partnerships and resource acquisition strategies, including a light asset model for chip supply, enable quick adaptation to market changes [17] - The company has established a leading AI computing center in Shanghai, enhancing its capabilities in AI model development and deployment [12]

Core Insights - The company reported a revenue of RMB 2.358 billion for the first half of the year, representing a year-on-year growth of 35.6%, while losses narrowed to RMB 1.489 billion, a decrease of 39.9% [1] - The generative AI business continues to be a key growth driver, achieving revenue of RMB 1.816 billion, a year-on-year increase of 72.7%, and accounting for 77% of total revenue [1] - The company has established a three-pronged approach in its generative AI business, focusing on "computing power infrastructure - large model research - large model application" [1] Financial Performance - Adjusted EBITDA improved to RMB -5.206 billion, a 72.5% year-on-year improvement [1] - Adjusted net loss narrowed to RMB 1.162 billion, a reduction of 50% compared to the previous year [1] AI Model Development - The company launched the "Riri New V6.5" model in July, achieving breakthroughs in reasoning, efficiency, and multi-modal capabilities, with performance comparable to Gemini 2.5 Pro and Claude 4-Sonnet [2] - The model's data analysis capabilities surpassed competitors, achieving a 10% accuracy lead in math exam grading [2] Application Ecosystem - The company accelerated penetration in productivity and interaction tools, with over 3 million users in the "Little Raccoon" product family, processing approximately 10 billion data analysis tokens daily [3] - The financial version of the product improved data production efficiency by 300% for clients like China Merchants Bank and Ningbo Bank [3] - The education version supports over 500 schools and 250,000 students, achieving over 99% accuracy in math grading [3] Visual AI Business - The visual AI segment saw a revenue of RMB 436 million, a year-on-year decline of 14.8%, primarily due to a shift in collaboration model with a client [3] - The company serves over 660 clients domestically and internationally, with a long-term repurchase rate of 57% [3] Core Product Upgrades - The core platform, SenseFoundry, upgraded its multi-modal model and visual intelligence capabilities, enhancing efficiency and reducing costs [4] - The company has shipped over 1 million smart cockpit units and over 250 million Android smartphones, maintaining a leading market position in China's computer vision market for nine consecutive years [4]