We're announcing something called Cortex code which is a coding agent that is specialized to data. What that means is it it understands Snowflake intimately all its different capabilities what you need to do with everything from how you ingest data to data pipelines to creating new applications and also creating AI agents. It brings the power of AI to automating many of these tasks and it's been remarkable.We are seeing productivity gains of five to 10 times in getting jobs done and customers like Whoop whi ...

Snowflake's (SNOW) $200 million deal with OpenAI, in tandem with SNOW's existing alliance with another huge artificial intelligence (AI) startup — Anthropic — is likely to enable SNOW to take significant, needle-moving revenue away from the cloud-infrastructure units of Amazon (AMZN) and Microsoft (MSFT). Consequently, SNOW's growth, which is already quite rapid, looks poised to accelerate meaningfully in the medium- to long-term, and growth investors looking for an up-and-coming AI play should consider ...

Snowflake Inc. (NYSE:SNOW) is one of the 10 Best AI Software Stocks to Buy Right Now. On January 30, DA Davidson reiterated its Buy rating on Snowflake Inc. (NYSE:SNOW) with a $300 price target, citing value in carefully buying software companies that can overcome the pressures being faced by the broader software sector. DA Davidson said it does not want “to fight the holy war quite yet,” but believes some software stocks stand out. The research firm noted that Snowflake Inc. (NYSE:SNOW) is a company tha ...

Core Insights - Snowflake has entered into a $200 million partnership with OpenAI to integrate AI models into its enterprise data platform, allowing over 12,000 customers to access OpenAI models like GPT-5.2 within Snowflake Cortex AI across major cloud providers [1] Group 1: Partnership Details - The multi-year agreement focuses on developing tailored AI solutions for enterprise clients, enabling organizations to analyze proprietary data through natural language queries [2] - Joint efforts will introduce new features using OpenAI's Apps SDK, AgentKit, and APIs to enhance enterprise workflows [2] Group 2: AI Agent Capabilities - Enterprises can create customizable AI agents that operate on governed data and perform actions across various tools and applications, securely within the Cortex AI environment [3] - These agents will allow businesses to analyze both structured and unstructured data using familiar technologies like SQL [3] Group 3: Governance and Security - Snowflake is committed to maintaining governance standards with built-in business continuity and disaster recovery measures, supported by a 99.99% uptime service-level agreement [3] - Customers will access OpenAI's capabilities alongside their own data while benefiting from Snowflake Horizon Catalog's responsible AI controls [4] Group 4: Strategic Vision - Snowflake's CEO emphasized that integrating OpenAI models enables organizations to build and deploy AI on their most valuable asset using a secure, governed platform [4] - The collaboration builds on previous work, including OpenAI's use of Snowflake for analytics and Snowflake's internal adoption of ChatGPT Enterprise for productivity [5] Group 5: OpenAI's Developments - OpenAI's Applications CEO stated that the partnership simplifies the deployment of AI agents and apps, bridging the gap between AI capabilities and business value [6] - OpenAI has also launched a desktop application for its coding tool Codex, aimed at competing in the AI code-generation sector [6][7]

LONDON--(BUSINESS WIRE)-- #SnowflakeBUILD--Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced new innovations to help enterprises deliver real business impact with AI, which requires more than high-quality models alone. Snowflake is unveiling Semantic View Autopilot (now generally available), an AI-powered service that automates the creation and governance of semantic views, giving AI agents a shared understanding of business metrics to deliver consistent, trustworthy outcomes. Snowflake is ...

2月2日，一场价值2亿美元的合作官宣，再次搅动企业人工智能领域的风云。 云数据巨头Snowflake与AI领头羊OpenAI达成多年期战略合作，不仅让前者12600家客户得以打通三大云平台的OpenAI模型访问权限，更敲定了联 合研发AI代理的核心目标——这不是一次简单的技术互补，而是企业AI竞争从"模型内卷"转向"生态联姻"的标志性事件。 短短三个月内，Snowflake先后掷出两笔2亿美元的AI大单，先牵手Anthropic，再联姻OpenAI；而OpenAI也在两周前刚与ServiceNow完成类似合 作，密集的大额交易背后，是企业AI市场的竞争逻辑正在发生根本性重构。曾经的"单一模型决胜"时代已成过去，一场围绕数据、模型、场景的 生态博弈，正在拉开全新战局。 2亿美元换双向绑定，AI代理成合作锚点 这场备受瞩目的合作，本质是一场精准的"能力互补"双向奔赴，而非简单的技术授权。从协议条款来看，双方的绑定深度远超普通合作伙伴，核 心围绕三大维度展开，每一项都直指企业AI落地的核心痛点。 首先，模型接入实现"全云覆盖"，打破平台壁垒。根据协议，OpenAI的全量模型将通过Snowflake Cortex A ...

forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. Forward-looking statements speak only as of the date the statements are made and are based on information available to Snowflake at the time those statements are made and/or Snowflake management's good faith belief as of that time with respect to future events. Except as required by law, Snowflake undertakes no obligation, and does not intend, to update these forward-looking statem ...

Software stocks have been hammered out of the gate this year. One big fear behind it is essentially carried over from 2025: that fast-moving AI will kill off software companies over time. Snowflake (SNOW) CEO Sridhar Ramaswamy said investors should distinguish between software and data players. "Data platforms are also a little bit different from pure software stocks, and I think the data layer will continue to rise in importance," Ramaswamy told me on Yahoo Finance (video above). The concern has piled ...

wordmmMwWLliI0fiflO&1mmMwWLliI0fiflO&1mmMwWLliI0fiflO&1mmMwWLliI0fiflO&1mmMwWLliI0fiflO&1mmMwWLliI0fiflO&1mmMwWLliI0fiflO&1 Partnership to Bring Enterprise-Ready AI to the World's Most Trusted Data PlatformNo-Headquarters/BOZEMAN, Mont.--([BUSINESS WIRE])--Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced a new collaboration with OpenAI that enables global enterprises to unlock greater value from their proprietary data with AI. This multi-year, $200 million partnership agreement cements Sno ...

Investment Rating - The report does not explicitly provide an investment rating for the industry but indicates a cautious outlook for enterprise SaaS multiples into 2026 due to global uncertainty and technological disruptions [6]. Core Insights - The median EV/TTM revenue multiple for public enterprise SaaS companies decreased to 5x at the end of Q4 2025, down from 5.3x in Q3 2025, and is expected to see limited upside into 2026 [6]. - Revenue growth rates for 2026 are anticipated to step down to high single digits or low double digits, with significant declines expected in several segments, while slight growth is expected in collaboration, productivity, and creative segments [9]. - The median gross margin for public enterprise SaaS companies increased to nearly 77% in 2025, with expectations of continued strength but limited substantial growth in 2026 [10]. - The median EBITDA margin rose to 19.8% in 2025, with expectations for further strengthening across most segments into 2026 [11]. Summary by Sections Revenue - Revenue growth rates for enterprise SaaS companies are projected to decline significantly in 2026, with the median growth rate barely in double digits, down from previous years' rates of 15% to 30% [9]. - The report highlights specific segments expected to experience declines, including CRM, sales, marketing & CX, finance, ERP, HR & payroll, and data, analytics & AI platforms [9]. Valuation - The report notes that valuation multiples have continued to decline, with 76 out of 102 tracked companies experiencing decreases in their EV/TTM revenue multiples from year-end 2024 to year-end 2025 [12]. - Notable companies that outperformed the broader SaaS decline include Unity, On24, and CS Disco, while companies like Ibotta and The Trade Desk saw significant decreases in their multiples [12]. Gross Margin and EBITDA - The median gross margin across public enterprise SaaS companies is projected to remain strong at 77% in 2026, with some segments like DevOps and vertical SaaS expected to see slight growth [10]. - The report anticipates that EBITDA margins will continue to improve, with the highest growth expected in data, analytics & AI platforms and collaboration, productivity & creative segments [11].