- Snowflake Cortex AI for Financial Services allows financial institutions to unify their data ecosystems and easily deploy AI models, apps, and agents on top of that AI-ready data in Snowflake
- Snowflake’s MCP Server connects third-party data from partners such as FactSet, MSCI, Nasdaq eVestment®, and The Associated Press, which customers will be able to leverage in apps and agent platforms like Anthropic, CrewAI, Cursor, Devin by Cognition, Salesforce’s Agentforce, UiPath, and Windsurf, to accelerate the delivery of context-rich AI apps and agents
Snowflake, the AI Data Cloud company, today announced Snowflake Cortex AI for Financial Services, a comprehensive suite of AI capabilities and partnerships that empower financial services companies to unify their financial data ecosystem and securely deploy AI models, apps, and agents with that data — while offering rigorous security and compliance controls required in regulated industries.
Snowflake also announced a new managed Model Context Protocol (MCP) Server (now in public preview), enabling organizations to easily and securely harness their own proprietary data and third-party data in Snowflake from partners including FactSet, MSCI, Nasdaq eVestment®, and The Associated Press. Customers will then be able to leverage this managed MCP Server to connect their data with apps and agent platforms like Anthropic, CrewAI, Cursor, Devin by Cognition, Salesforce’s Agentforce, UiPath, and Windsurf, to build context-rich AI agents and apps. With these innovations, customers across financial services and other industries can rapidly deploy trusted AI through solutions that are purpose-built for their specific needs, while providing the broader industry with seamless, secure connectivity across their data and AI ecosystems.
“The financial services industry has long been a leader in embracing new technology, and AI is no exception. However, the industry faces unique challenges in navigating fragmented data, robust compliance requirements, and the need for airtight security and governance,” said Baris Gultekin, VP of AI, Snowflake. “By bringing AI directly to where their data already lives and enabling secure interoperability with remote agents, Snowflake is making it easier for highly regulated industries like financial services to power business-critical use cases and tap into a unified ecosystem of best-of-breed data, AI, and apps.”
Introducing Cortex AI for Financial Services
Cortex AI for Financial Services enables enterprise-ready agents to accelerate complex financial tasks — including market analysis, quantitative research, fraud detection, customer support, and claims management — saving enterprises time, reducing operational costs, and delivering faster insights. Snowflake’s MCP Server extends this capability by enabling industry-wide interoperability, securely connecting to Snowflake data, as well as third-party data and apps.
The Cortex AI for Financial Services ecosystem offers high-quality, trusted data from leading financial data providers and publishers that organizations can seamlessly integrate with their AI apps and agents — including structured data providers like CB Insights, Cotality™, Deutsche Börse, MSCI, and Nasdaq eVestment® through Sharing of Semantic Views (generally available soon); and unstructured data publishers like CB Insights, FactSet, Investopedia, The Associated Press, and The Washington Post through Cortex Knowledge Extensions (now generally available). By combining industry-specific data from leading financial institutions and publishers — such as market analysis, expert research, business content, and news — with their own proprietary data in Snowflake, financial services companies can get deeper insights, accuracy, and results from their AI.
Within the Cortex AI for Financial Services suite, the following product features empower finance professionals to accelerate business-critical use cases, including:
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