以基本面为基础，专注于趋势交易 还在信"AI是泡沫"？ 三家海外巨头刚甩来的财报，直接把这论调抽成了筛子。 Snowflake 、 MongoDB 、 CrowdStrike 的 FY26Q3 成绩单新鲜出炉，营收、 EPS 双双 炸穿预期。 以下文章来源于格隆汇交易学苑 ，作者格隆汇小编 格隆汇交易学苑 . AI 业务更狠，从" PPT 概念"焊死在"赚钱实景"里。 前阵子有人喊 " AI 只烧钱不造血"，现在看，数据处理、平台适配、安全防护三条赛道，全跑 成了"印钞机"。 别猜泡沫了，真相是： AI 应用早起飞，关键是抓对赛道 。 01 数据基础设施AI化： AI落地的"地基工程" AI 要赚钱，先得把数据"伺候"好。 这是行业铁律，就像盖楼先打地基，少了这步，再牛的 AI 也是空中楼阁。 Snowflake 这季度的表现，把"地基刚需"焊得明明白白。 总营收 12.1 亿美元，同比暴涨 29% ；核心产品营收 11.6 亿美元，增速丝毫不差。 双双踩碎市场预期，最狠的是 AI 业务——年化收入破 1 亿美元，比原计划早了整整一个季 度。 这不是 "实验室胜利"，是客户真金白银堆出来的。 福布斯 2000 ...

Nothing 创始人兼 CEO 裴宇（Carl Pei）表示："我们正朝着在三年内具备 IPO 条件的方向努力。至于具体时间，将取决于当时的市场环境，以及对公司业 务最合理的选择。重要的是，我们现在已经在以这种纪律性运作了。我们正在建立一家上市公司所需的系统、治理结构和财务纪律。这迫使我们以更长期 的视角思考，并做出更明智的决策，优先关注可持续增长。" 2025 年 12 月 3 日，英国伦敦，总部位于伦敦的消费科技公司 Nothing 宣布，将以 13 亿美元的 C 轮估值开启 500 万美元的新一轮社区投资，用于基于现 有硬件基础的AI 原生操作系统的打造。 随着从设计、供应链、生产到全球销售的全链路能力成熟，公司现阶段已逐渐聚焦于开发能够深刻理解每位用户并根据其情境自适应的操作系统。明年， 我们将推出首批 AI 原生设备，开启消费科技的全新未来。 Nothing 已累计获得超过 4.5 亿美元投资，投资方包括 老虎全球管理（Tiger Global）、谷歌风投（GV）、Highland Europe、殷拓集团（EQT） 及 高通风 投（Qualcomm Ventures），并于 2025 年 9 月完 ...

Core Insights - The article emphasizes the importance of B2B industrial platforms in enhancing transaction efficiency and restructuring supply chain competitiveness in the context of the deep integration of digital and physical economies [1] - Statista reports that the global B2B e-commerce transaction volume surpassed $14.9 trillion in 2023, projected to reach $7.9 trillion by 2025, accounting for 35% of total B2B transaction volume [1] - Traditional B2B platforms face challenges such as information silos, fragmented processes, and data delays, leading to extended transaction cycles and increased costs [1] Technology Architecture - The core competitiveness of B2B industrial platforms lies in the stability and scalability of their technology architecture [2] - The company employs a "microservices + platformization" cloud-native architecture, supporting millions of concurrent accesses with a fault isolation rate of 90% [2] Distributed Microservices Decoupling - The platform is divided into over 200 independent microservices covering essential modules like product management and order processing [3] - In a project for an automotive parts company, the platform achieved over 5,000 orders processed per second with a response time of under 0.3 seconds [3] Data Platform Driving Decision-Making - The data platform is central to the intelligence of the B2B platform, integrating data from various systems to create a unified data warehouse [4] - For a chemical company, inventory data is synchronized every 5 minutes, reducing out-of-stock rates by 40% [4] Blockchain for Trust Assurance - The company utilizes Hyperledger Fabric blockchain technology to ensure transaction data integrity [5] - In a cross-border transaction for a building materials company, the blockchain feature reduced dispute resolution time from 30 days to 7 days, with a 60% decrease in dispute rates [5] Core Functions - The B2B platform focuses on three main goals: cost reduction, efficiency enhancement, and risk control, featuring six core functional modules [6] Intelligent Demand Forecasting and Procurement Collaboration - The platform uses AI frameworks to build demand forecasting models, improving inventory turnover by 25% and reducing procurement costs by 12% for an electronic components company [7] Electronic Contracts and Fund Escrow - The integration of an electronic signature system enhances contract signing efficiency by 90% and reduces dispute rates by 60% [8] - A cross-border e-commerce company reduced overseas payment cycles from 30 days to 7 days, with a 35% decrease in bad debt rates [8] Inventory Sharing and Logistics Tracking - The platform enables real-time inventory data synchronization, reducing out-of-stock rates by 40% for a fast-moving consumer goods company [9] - Logistics tracking features have improved temperature anomaly rates in cold chain transport from 5% to 0.5% for a pharmaceutical company [9] Quality Traceability and Credit Assessment - The platform implements a traceability system for product quality, improving issue resolution efficiency by 70% for a food company [10] - Credit assessment features have increased supplier collaboration efficiency by 60% for a machinery equipment company [10] Implementation Path - The implementation of the B2B platform follows a five-step process to ensure efficient project execution and continuous optimization [11] Industry Applications - The platform has been successfully applied in manufacturing, agriculture, and cross-border e-commerce, enhancing transaction efficiency and reducing costs [16] Future Trends - The company is developing an AI-native B2B platform to automate and enhance various processes, including contract generation and negotiation [21] - The exploration of industrial metaverse applications aims to create virtual showrooms and digital twin factories [22] - Integration of carbon footprint calculation tools supports companies in tracking emissions and meeting ESG requirements [23] Conclusion - The B2B industrial platform has evolved into a core competitive tool for enterprises, with the company assisting over 500 businesses in achieving supply chain intelligence upgrades, reducing average transaction cycles by 50% and operational costs by 30% [24]