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商汤-W(00020) - 2023 H2 - 电话会议演示
2025-05-06 08:47
SenseTime Group Inc. 2023 Annual Results Presentation TO CREATE AN AI-EMPOWERED FUTURE THROUGH INNOVATION 2024.03 —— Explosive Growth in Generative AI Revenue in 2023 10% 2022 2023 35% Revenue Operating Computing Power 12,000P Model-as-a-Service (MaaS) Revenue Growth of Group Revenue Operating Expenses 10.6% EBITDA (loss)2 (yoy reduced) RMB 5.5bn ( 2.2%) Group Revenue (yoy -10.6%) RMB 3.4bn Receivables collection (yoy +48.5%) RMB 3.8bn Total Employee (yoy reduced) 4,500+ ( 11.1%) Note: 1. Data as of 31 Dece ...
商汤-W(00020) - 2024 H1 - 电话会议演示
2025-05-06 08:37
SenseTime Group Inc. 2024 Interim Results Presentation TO CREATE A BETTER AI-EMPOWERED FUTURE THROUGH INNOVATION 2024.08.27 —— Disclaimer The information in this presentation has been prepared by representatives of SenseTime Group Inc. (the "Company", and together with its subsidiaries, the "Group") for use in presentations by the Group for information purposes. No part of this presentation should form the basis of, or be relied on in connection with, any contract or commitment or investment decision whatso ...
商汤-W(00020) - 2024 H2 - 电话会议演示
2025-05-06 08:36
SenseTime Group Inc. 2024 Annual Results Presentation TO CREATE A BETTER AI-EMPOWERED FUTURE THROUGH INNOVATION 2025.03.26 —— Disclaimer The information in this presentation has been prepared by representatives of SenseTime Group Inc. (the "Company", and together with its subsidiaries, the "Group") for use in presentations by the Group for information purposes. No part of this presentation should form the basis of, or be relied on in connection with, any contract or commitment or investment decision whatsoe ...
商汤与中国移动香港、香港中文大学法律学院就视觉AI、大模型等领域达成合作
news flash· 2025-05-06 03:49
商汤与中国移动香港、香港中文大学法律学院就视觉AI、大模型等领域达成合作 金十数据5月6日讯,近日,商汤在香港分别与中国移动香港有限公司、香港中文大学法律学院签署合作 备忘录,就视觉AI、大模型等领域展开深入合作。 ...
商汤科技推动AI在香港多元化落地
news flash· 2025-05-06 03:36
近日,商汤科技在香港分别与中国移动(600941)香港有限公司(简称"中国移动香港")、香港中文大学 法律学院签署合作备忘录,就视觉AI、大模型等领域展开深入合作。商汤落地香港10年,从视觉AI守 护香港机场地铁海关口岸安全、到AR助力香港文旅和教育,到如今,大模型落地香港政务、网安、法 律等新领域。(人民财讯) ...
商汤科技与编程猫达成战略合作,推动AI与编程教育融合
news flash· 2025-04-29 07:11
Group 1 - The core viewpoint of the article is the strategic partnership between SenseTime and Coding Cat to promote the integration of AI and programming education [1] - The collaboration will focus on course development, teaching software, and teacher training [1] - Both companies will explore multiple applications of AI in the education sector [1]
商汤、思谋,最新发声
Zhong Guo Ji Jin Bao· 2025-04-28 11:52
4月25日至4月26日,中国基金报记者参与"机遇湾区""机遇香港""机遇澳门"主题采访活动,走访香港科 技园和香港数码港两大香港创科重镇,与园区企业及管理层进行了深入交流。尽管"逆全球化"浪潮甚嚣 尘上,但是,据记者观察,在"背靠祖国,联通世界"的香港,创科产业生态圈仍蓬勃发展。 内地、香港双向赋能 成批孵化"独角兽" 据香港科技园公司主席查毅超介绍,目前,包括思谋科技在内的约2200家科技企业在香港科学园从事研 发。香港科学园入驻科研人员约1.5万人,是香港最大科创生态圈。 【导读】背靠祖国 布局全球 香港创科产业生态圈蓬勃发展 创立第18个月便跻身独角兽行列的思谋科技创始人贾佳亚告诉记者,成立5年来,已通过自研工业大模 型和智能体技术,为全球300多家行业头部企业提供了服务与支持。这背后与香港、深圳的科创政策支 持、粤港澳大湾区产业深度融合息息相关。 贾佳亚表示,深圳与香港紧密合作,把香港国际化的人才资源、深厚的科研基础和前海健全的产业配 套、丰富的应用场景等优势结合起来,为思谋这样的科技企业打造了"制度最开放、成本最低、效率最 高"的发展平台,让思谋得以更好地利用两地优势,实现技术、资本与市场的深度融合 ...
商汤绝影发布生成式智驾R-UniAD,与东风、广汽等7款车型合作
雷峰网· 2025-04-27 09:02
" 更低成本的真实数据需求,更快迭代智驾系统。 " 作者丨田哲 编辑丨林觉民 4月23日,第二十一届上海国际车展上,商汤绝影发布了包括生成式智驾R-UniAD、4D世界模型"绝影开 悟2.0"、AI内核"绝影千机"在内的多个核心技术。 统观绝影发布的技术,一句话概括为:不是做"功能模型",而是做"系统AI"。 过去几年,端到端技术被认为是智能驾驶实现路径中的"终极形态",但大多数方案都卡在数据、性能、安 全三道门槛前。R-UniAD的思路,是在这三道门槛外,再造一层AI基础设施。 据介绍,R-UniAD结合世界模型和强化学习,以VLAR(视觉、语言、行动、强化学习)技术架构为核 心,支持仿真环境中进行闭环训练,让模型能在虚拟世界里"试错—强化—泛化",最终形成系统策略能 力。 以车展现场展示的"施工占道场景"为例,R-UniAD先通过"绝影开悟"世界模型构建4D动态环境,再让模 型反复在这个世界里强化训练不同策略。最终结果是,模型不仅能精准避让,还能泛化到其它类似场景 中。 这种能力的意义在于,它不仅降低了数据成本,更提高了模型上限——在少数据场景里跑出更强泛化能 力,是当前行业少见的尝试。 如果说R-Uni ...
环球网专访|商汤绝影与东风汽车深化合作 生成式AI重构智能驾驶新范式
Huan Qiu Wang· 2025-04-27 01:40
Core Viewpoint - The collaboration between SenseTime and Dongfeng Motor in the field of intelligent driving represents a deep integration of technology and industry, providing a practical model for the sector [1] Technological Breakthroughs - SenseTime showcased the R-UniAD solution based on the VLAR architecture, achieving near real-time interactive simulation and reducing the need for real data by two orders of magnitude [3] - The system demonstrated a perception accuracy of 98% compared to real data and improved simulation efficiency by five times over industry benchmarks [3] - The joint team has made significant progress in developing an end-to-end autonomous driving system, which features a "dual insurance" architecture combining a learning-based decision system with a rule-driven safety redundancy [3] Industry Collaboration - SenseTime has partnered with four car manufacturers, covering seven vehicle models, and plans to mass-produce an end-to-end solution based on the NVIDIA Thor platform by Q4 2025 [3] - The company has maintained a leading market share in intelligent cockpit software for five consecutive years, with cumulative deliveries exceeding 3.6 million units [3] Ecological Evolution - SenseTime introduced the first in-vehicle AI operating system, "Jueying Qianji," with a response latency of less than 300ms, supporting over 100 intelligent agents [6] - The upgraded "New Member" system showcases multimodal recognition and deep thinking capabilities, providing personalized services during real-time demonstrations [6] - The "Travel Medical" system integrates medical-grade health monitoring and connects with third-party medical services [8] Industry Observations - The recent regulatory adjustments are viewed as a turning point towards maturity rather than a pause in the intelligent transformation process [8] - The penetration rate of L2-level assisted driving reached 62% in 2024, with a 37% year-on-year increase in user complaints regarding functional safety [8] - The collaboration model between Dongfeng and SenseTime reflects a dual-track strategy of "independent control + open collaboration" in the intelligent transformation of traditional car manufacturers [8] Common Industry Challenges - The introduction of AI-native technologies like world models and reinforcement learning is breaking through the limitations of rule-driven systems [11] - There is an urgent need to establish compliant data collection systems and unified safety assessment standards within the industry [11] - The deep binding of AI companies and vehicle manufacturers may be a key pathway to address these common challenges [11]
商汤(00020) - 2024 - 年度财报
2025-04-24 08:51
Financial Performance - Revenue increased from RMB 3,405.8 million in 2023 to RMB 3,772.1 million in 2024, representing an increase of approximately 10.7%[8] - Gross profit rose from RMB 1,500.8 million in 2023 to RMB 1,619.7 million in 2024, marking an increase of about 7.9%[8] - Annual loss decreased from RMB 6,494.7 million in 2023 to RMB 4,306.6 million in 2024, a reduction of approximately 33.8%[8] - Adjusted EBITDA loss improved from RMB 4,369.0 million in 2023 to RMB 3,089.2 million in 2024, reflecting a decrease of about 29.3%[8] - In 2024, the total revenue of SenseTime Group increased by 10.8% year-on-year, reaching RMB 3,772.1 million, with generative AI revenue surpassing RMB 2,404.0 million, a year-on-year growth of 103.1%[13] - Generative AI now accounts for 63.7% of the group's total revenue, up from 34.8% in 2023, marking it as the largest revenue contributor[14] - The group's gross profit for 2024 was RMB 1,619.7 million, with a gross margin of 42.9%, while total management and sales expenses decreased by 9.1% year-on-year[13] Customer Engagement and Product Development - The company achieved a significant increase in customer willingness to pay, with order amounts growing sixfold compared to 2023[12] - Monthly user engagement increased eightfold compared to 2023, driven by enhanced user experience and product offerings[12] - The company launched the first domestic large model surpassing GPT 4-Turbo performance in April 2024, followed by a video streaming interactive model in July 2024[12] - The productivity tools based on the multi-modal model have seen a 6x year-on-year increase in customer payment willingness, represented by order amounts in 2024[24] - The user base for office and code assistant products has surpassed 1.5 million, with daily invocation exceeding 1 million times and processing over 3.5 billion tokens daily[26] Research and Development - Research and development expenses increased to RMB 4,131,884 thousand in 2024 from RMB 3,465,766 thousand in 2023, indicating a focus on innovation[40] - R&D expenses grew by 19.2% from RMB 3,465.8 million in 2023 to RMB 4,131.9 million in 2024, driven by investments in training and fine-tuning base models[45] - The company aims to achieve carbon neutrality by 2030 and has implemented measures that saved 800 MWh of electricity in 2024[34] - The company has been recognized as the first to pass the enhanced level assessment of the National Computing Power Service Capability Maturity Model (CPMM)[35] Financial Position and Cash Flow - Total assets increased from RMB 32,888.0 million in 2023 to RMB 34,599.5 million in 2024, an increase of approximately 5.2%[7] - Total liabilities rose from RMB 9,732.6 million in 2023 to RMB 10,957.8 million in 2024, an increase of about 12.6%[7] - As of December 31, 2024, the total cash reserves of the group amounted to RMB 12,752.2 million, and trade receivables increased by 19.0% year-on-year to RMB 4,623 million[13] - The net cash used in operating activities for the year ended December 31, 2024, was RMB (3,926.7) million, compared to RMB (3,234.3) million in 2023, indicating an increase in cash outflow of 21.5%[64] - The net cash generated from financing activities for the year ended December 31, 2024, was RMB 6,259.9 million, significantly higher than RMB 1,083.6 million in 2023, marking a 478.5% increase[67] Strategic Partnerships and Market Expansion - The company has established partnerships with emerging industry clients in areas such as embodied intelligence and AI for science, expanding its market reach[15] - In the smart automotive sector, the delivery of the "Zhenying" system increased by 29.2% year-on-year, with over 1.67 million new deliveries and a cumulative total exceeding 3.6 million vehicles[29] - The company signed strategic cooperation agreements with Dongfeng and Chery to deliver smart driving solutions based on the domestically produced Horizon J6 platform in Q1 2025[30] Governance and Compliance - The company held a total of 7 board meetings, 5 audit committee meetings, 2 remuneration committee meetings, 1 nomination committee meeting, and 3 corporate governance committee meetings during the reporting period[99] - The audit committee held 5 meetings during the reporting period to discuss audit and financial reporting matters with the auditors[106] - The corporate governance committee conducted 3 meetings to review and monitor the company's governance policies and compliance with legal and regulatory requirements[110] - The company has established a whistleblowing mechanism to encourage internal reporting of suspicious activities, with no significant fraud or misconduct events affecting the financial statements for the year ending December 31, 2024[134] Shareholder Engagement and Dividends - The company encourages shareholders to participate in annual general meetings and provides at least 21 days' notice for such meetings[141] - The company did not recommend the distribution of a final dividend for the year ending December 31, 2024, considering the long-term interests of shareholders[156] - The company maintains a website for regular updates and communication with shareholders, including financial reports and announcements[143] Risk Management - The company has established a comprehensive risk management framework to identify and manage compliance risks, ensuring operations comply with applicable laws and regulations[129] - The company has implemented a series of internal procedures to manage operational risks, aiming to control potential losses through identification, measurement, monitoring, and control of these risks[127] - The audit committee has reviewed the company's risk management and internal control systems, deeming them effective and sufficient[136]