What is Snowflake's Cortex AI for Financial Services?

Snowflake has introduced its Cortex AI for Financial Services, a new collection of tools aimed at assisting financial institutions in the deployment of AI models and agents.

The platform has been developed to work within the sector's regulatory compliance and data security frameworks.

With this launch, in partnership with FactSet, MSCI, Anthropic and Salesforce, Snowflake looks to address challenges particular to regulated industries such as fragmented data ecosystems and strict governance requirements.

A key component of this initiative is Snowflake's managed Model Context Protocol (MCP) Server, which is now in public preview.

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

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

Baris Gultekin, Vice President of AI at Snowflake, says: "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".

Core capabilities for data and business teams

The Cortex AI suite offers three main features that are aimed at different user groups within a financial organisation. These capabilities are:

• The Snowflake Data Science Agent which functions as an automated coding assistant for data scientists. It is designed to manage tasks such as data cleaning, feature engineering and model prototyping for risk modelling and fraud detection.
• Cortex AISQL is currently in public preview. It delivers AI-powered extraction and transcription functions to help process unstructured data, eg earnings call transcripts and transaction details.
• Snowflake Intelligence gives business users a conversational interface. This allows them to query both structured and unstructured data with natural language which could remove technical barriers to data access.

Industry focuses on AI data connectivity

Responses from partners have highlighted the persistent challenge of connecting AI systems to enterprise data in a secure manner.

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

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

The need for secure access to high-quality data for agentic workflows is a point reinforced by João Moura, Co-Founder and CEO of CrewAI.

According to João, agentic workflows require this access, a function that Cortex is designed to facilitate.

"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. John Costigan, Executive Vice President and Chief Data Officer at FactSet, also noted the importance of standardisation.

"Providing our clients access to AI-ready data products represents a major step forward for our clients, providing the technological foundation to unify and enrich data within modern cloud environments," explains John.

Integrating with data marketplaces

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

In addition, unstructured data from publishers such as CB Insights, FactSet, Investopedia, The Associated Press and The Washington Post is made accessible through Cortex Knowledge Extensions, which are now generally available.

This dual approach means financial institutions can combine third-party market analysis and research with their own proprietary data when building AI applications.

The MCP Server itself is not limited to financial services.

Snowflake is presenting it as an enterprise-wide solution for connecting AI agents to data systems which could remove the need for custom integrations for each platform.