Snowflake has announced Snowflake Cortex AI for Financial Services, a suite of AI capabilities and partnerships designed to help financial services firms integrate their data ecosystems and deploy AI models, applications, and agents with built-in security and compliance controls.
The company also introduced a managed Model Context Protocol (MCP) Server, now in public preview, which allows organisations to securely use their proprietary and third-party data in Snowflake from partners such as FactSet, MSCI, Nasdaq eVestment, and The Associated Press.
This MCP Server enables customers to link their data with applications and platforms including Anthropic, CrewAI, Cursor, Devin by Cognition, Salesforce’s Agentforce, and Windsurf to create context-aware AI agents and applications.
Baris Gultekin, Vice President of AI at Snowflake, said:
“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.”
Cortex AI for Financial Services is aimed at supporting tasks such as market analysis, quantitative research, fraud detection, customer support, and claims management.
It incorporates data from structured providers including CB Insights, Cotality, Deutsche Börse, MSCI, and Nasdaq eVestment, and unstructured publishers such as FactSet, Investopedia, The Associated Press, and The Washington Post.
By combining these external sources with in-house data stored in Snowflake, financial institutions can derive more accurate and comprehensive insights.
Within the suite, Snowflake Data Science Agent assists with machine learning workflows by automating data preparation, feature engineering, model prototyping, and validation.
This is intended to accelerate the development of models used for risk modelling, compliance, fraud detection, and underwriting.
Snowflake Cortex AISQL supports the analysis of unstructured data such as market research, earnings call transcripts, and transaction details by adding functions for AI-driven extraction and transcription.
This enables organisations to process documents, audio, and images at scale for use cases like customer service, investment analysis, and claims processing.
For business teams, Snowflake Intelligence, now in public preview, provides a natural language interface that allows users to query data held in Snowflake and from third-party sources, making it possible to access insights without specialist technical expertise.
Snowflake MCP Server is designed to simplify how enterprises connect AI agents to their existing systems.
MCP has recently emerged as a standard to help large language models interact with data, APIs, and services.
By offering a managed MCP Server, Snowflake allows enterprises to unify structured and unstructured data retrieval, eliminating the need for custom integrations.
It also provides access to proprietary and third-party data through Snowflake Marketplace and Cortex Knowledge Extensions, while maintaining security and governance standards.
The server can connect with a wide range of agent platforms including Anthropic, Augment Code, Amazon Bedrock AgentCore, CrewAI, Cursor, Devin by Cognition, Glean, Mistral, Salesforce’s Agentforce, UiPath, Windsurf, Workday, and Writer.
Featured image credit: Edited by Fintech News Singapore, based on image by Frolopiaton Palm via Freepik
