Inside Snowflake's New Cortex AI Suite for Finserv Firms

Snowflake has announced the launch of Cortex AI for Financial Services, a new suite of tools designed to help financial institutions deploy AI models and agents while maintaining their regulatory compliance and data security.

With this platform, Snowflake is hoping to address challenges specific to highly regulated industries, including fragmented data ecosystems and stringent governance requirements.

A central part of this announcement is Snowflake's managed Model Context Protocol (MCP) Server, now in public preview.

The MCP Server connects proprietary customer data with third-party information from partners including FactSet, MSCI, Nasdaq eVestment and The Associated Press.

This infrastructure enables financial institutions to integrate their data with agent platforms such as Anthropic's Claude, Salesforce's Agentforce, CrewAI, Cursor and UiPath.

"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," says Baris Gultekin, VP of AI at Snowflake.

Three core capabilities

The Cortex AI suite includes three primary features targeting different user groups within financial organisations.

Snowflake Data Science Agent acts as an automated coding assistant for data scientists, handling tasks such as data cleaning, feature engineering and model prototyping for risk modelling and fraud detection workflows.

Cortex AISQL, currently in public preview, provides AI-powered extraction and transcription functions to process unstructured data including earnings call transcripts and transaction details.

Snowflake Intelligence offers business users a conversational interface to query both structured and unstructured data using natural language, removing technical barriers to data access.

Industry response highlights data connectivity

Partner responses emphasised the challenge of connecting AI systems to enterprise data securely.

"Enterprises are moving from AI pilots to production, but until now, securely connecting AI to proprietary data has been a critical barrier," explains Jonathan Pelosi, Head of Industry for Financial Services at Anthropic.

"Our partnership with Snowflake helps solve this by using MCP to connect each organisation's governed data directly to Claude."

João Moura, Co-Founder and CEO of CrewAI, makes clear that agentic workflows require secure access to high-quality data, which is something that Cortex is designed to provide.

"Snowflake's launch of a managed MCP Server provides the essential, secure pipeline for our agent crews to access, analyse and act upon governed data within the AI Data Cloud," said João.

Financial data provider FactSet highlighted the significance of standardised protocols.

"Providing our clients access to AI-ready data products represents a significant step forward for our clients, providing the technological foundation to unify and enrich data within modern cloud environments," explains John Costigan, Executive Vice President and Chief Data Officer at FactSet.

Data marketplace integration

The platform integrates with structured data providers including CB Insights, Cotality, Deutsche Börse, MSCI and Nasdaq eVestment through Sharing of Semantic Views.

Unstructured data from publishers such as CB Insights, FactSet, Investopedia, The Associated Press and The Washington Post is accessible through Cortex Knowledge Extensions, now generally available.

This approach allows financial institutions to combine third-party market analysis and research with their proprietary data for AI applications.

The MCP Server extends beyond financial services, with Snowflake positioning it as an enterprise-wide solution for connecting AI agents to data systems without requiring custom integrations for each platform.