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Snowflake Marketplace Adds Agentic Products and AI-Ready Data from Leading News, Research, and Market Data Providers

1. Snowflake announced new AI products at Snowflake Summit 2025. 2. Cortex Knowledge Extensions enhance AI apps with real-time third-party content. 3. Sharing Semantic Models accelerates AI adoption and improves data usage. 4. Agentic Native Apps facilitate seamless integration of enterprise AI functionalities. 5. Collaborations with major content publishers establish a competitive data ecosystem.

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Why Bullish?

The announcement of new AI products and partnerships improves Snowflake's competitive position. Historically, product innovations have positively influenced SNOW's market performance.

How important is it?

The introduction of new products directly impacts Snowflake's market strategy and potential revenue growth. These innovations are crucial for maintaining market leadership in AI-driven data solutions.

Why Long Term?

The integration and scaling of these AI products will provide sustained value. Previous product launches have led to significant customer adoption over time.

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SAN FRANCISCO--(BUSINESS WIRE)--Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at its annual user conference, Snowflake Summit 2025, new agentic products on Snowflake Marketplace that accelerate agentic AI adoption across the enterprise. Cortex Knowledge Extensions (generally available soon) on Snowflake Marketplace enables enterprises to enrich their AI apps and agents with proprietary unstructured data from third-party providers — all while allowing providers to protect their intellectual property and ensure proper attribution. This includes a selection of business articles and content from The Associated Press, which will help users further enhance the usefulness of results in their AI systems. Real-time news and content from USA TODAY and the USA TODAY Network is also available through Cortex Knowledge Extensions, alongside third-party content from publishers like CB Insights, Packt, and Stack Overflow. In addition, Snowflake unveiled sharing of Semantic Models (now in private preview), which allows users to easily integrate AI-ready structured data within their Snowflake Cortex AI apps and agents — both from internal teams or third-party providers like CARTO, CB Insights, Cotality™ powered by Bobsled, Deutsche Börse, IPinfo, and truestar. With Snowflake’s latest collaboration innovations, enterprises can accelerate their AI initiatives with easy access to an expansive ecosystem of data and agentic AI-ready products, all from within the secure perimeter of the AI Data Cloud. “Building powerful AI apps and agents at scale hinges on enterprises having access to not only high-quality and relevant internal and external data, but also the business semantics of that data in order to deliver trusted AI results,” said Prasanna Krishnan, Head of Apps & Collaboration and Horizon, Snowflake. “Snowflake is raising the bar on enterprise-wide collaboration, making it even easier for customers to fuel their AI initiatives with AI-ready data and leverage Agentic Native Apps that they can bring to their data, without copying or moving data. Our latest innovations enable teams to turn possibilities into reality with data and AI, all without worrying about security and governance risk.” “The USA TODAY Network is the largest local-to-national publishing and digital media organization in the country, with 195 million average monthly unique visitors relying on our trusted content to stay connected to the stories and cultural moments happening in their communities,” said Renn Turiano, Chief Consumer and Product Officer, Gannett | USA TODAY Network. “We are thrilled to join the Snowflake Marketplace among the first news publishers to provide our trusted content for enterprise AI use in an equitable manner that respects our intellectual property rights while ensuring compensation for the value created for end users. This marks an important step forward in establishing a mutually beneficial ecosystem for AI companies, enterprises, content owners, and publishers to strategically partner, while driving innovation forward.” The First AI-Ready Content Marketplace for Enterprise AI Today, many enterprise AI systems lack access to real-time feeds of external content and knowledge — limiting their ability to provide accurate and context-rich responses. Conversely, licensed content owners want to ensure their content isn’t being used for AI training without compensation or attribution. Cortex Knowledge Extensions addresses these challenges by providing the first mutually beneficial marketplace of its kind where content owners and publishers like The Associated Press and USA TODAY Network can monetize their content for enterprise AI use with licensing terms — ensuring that content owners and publishers are compensated appropriately and enterprises can harness licensed proprietary knowledge in their AI apps. Content owners and publishers can list their content like news articles, textbooks, and research papers on Snowflake Marketplace, which enterprises can then purchase to further contextualize their AI-powered apps and agents in Cortex AI — including Cortex Agents (generally available soon), Cortex Search, and Snowflake Intelligence (public preview soon). This allows enterprises to harness real-time insights across news, research, and publications to enrich their AI outputs — all alongside the wealth of proprietary knowledge in their own organization’s documents. Cortex Knowledge Extensions permit the access of content only through retrieval-augmented generation and are powered by Snowflake’s underlying Zero-ETL Sharing functionality, ensuring that content owners and publishers have the ability to revoke access to their content at any time. In addition, content appears alongside clear attribution and links to the original source for increased reliability and accuracy. Sharing of Semantic Models Saves Enterprises Time and Ensures Trustworthy AI at Scale A critical step for ensuring AI is accurate and trustworthy is the creation of semantic models for structured, tabular data. Semantic models provide large language models with definitions and an understanding of structured data and associated business concepts, enabling users to ask questions in natural language and get meaningful answers. Now with sharing of Semantic Models, enterprises can easily share and access data along with semantic models, from internal teams through the Internal Marketplace, or third-party providers through Snowflake Marketplace — all while maintaining governance and version control. By mapping their internal data to these shared definitions, enterprises can drive more consistent decision-making and accelerate time-to-insight. In turn, business teams no longer depend on the availability of data engineers or data scientists to build reports or run ad-hoc queries. With Cortex AI-ready data products on Snowflake Marketplace, enterprises can tap into industry standard intelligence. Sharing of Semantic Models eliminates the time and effort teams spend creating semantic models, while still ensuring that AI systems generate accurate, high-quality, and context-rich responses. Users can then talk to their data with sharing of Semantic Models directly within their AI apps and agents in Cortex AI, including Cortex Agents, Cortex Analyst, or Snowflake Intelligence. Snowflake Introduces Agentic Snowflake Native Apps on Snowflake Marketplace to Accelerate AI Adoption Snowflake Marketplace connects enterprises to over 750 providers, offering more than 3,000 live and ready-to-use data, apps, and agentic products¹. To further expand what enterprises can do with Snowflake Marketplace, Snowflake is introducing Agentic Snowflake Native Apps on Snowflake Marketplace. Agentic Native Apps are interoperable agentic products that can deliver standalone agentic experiences on customer and provider data, or be used as the building blocks in agentic apps created on Cortex Agents or within Snowflake Intelligence. Providers can build, share, and monetize their Agentic Native Apps on Snowflake Marketplace, which consumers can easily discover, install, and purchase to accelerate time to value from data and AI in Snowflake. For example, with Sema4.ai’s Agentic Native App, customers can build and deploy AI agents within their Snowflake environment to automate tasks and interact with data using Cortex AI to answer natural language questions. Other examples include Contextual AI, Genesis Computing’s Enterprise AI Data Agents, Lang.ai, S&P Global, and Superduper.io. Learn More: Read more about how Snowflake is removing the barriers to AI while raising the bar on interoperable collaboration in this blog post. Check out all the innovations and announcements coming out of Snowflake Summit 2025 on Snowflake’s Newsroom. Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeSummit. ¹As of April 30, 2025. Forward Looking Statements This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake’s business strategy, (ii) Snowflake’s products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake’s products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events. © 2025 Snowflake Inc. All rights reserved. Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries. All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s). Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s). About Snowflake Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 11,000 companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to build, use, and share data, apps and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).

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