Monte Carlo Announces Integration with Snowflake to Bring Data + AI Observability Solution to Snowflake Cortex Agents

The next step in Monte Carlo and Snowflake’s strategic partnership makes it easier for customers to trust their data + AI products powered by Cortex Agents.

Monte Carlo, the leader in data + AI observability, today announced at Snowflake’s annual user conference, Snowflake Summit 2025, a strategic collaboration with Snowflake, the AI Data Cloud company, to support Snowflake Cortex Agents, Snowflake's AI-powered agents that orchestrate across structured and unstructured data to provide more reliable AI-driven decisions, within the Snowflake Cortex AI platform.

This collaboration reflects Monte Carlo’s continued commitment to ensuring trust and reliability across the complete data + AI lifecycle in Snowflake. By bringing its data + AI observability solution to Cortex Agents, Monte Carlo can help teams confidently scale AI initiatives with reliable, high-quality data, addressing the growing demand for trustworthy, production-ready data + AI systems.

Cortex Agents enable enterprises to build, customize, and deploy AI agents for complex tasks, all within Snowflake's unified platform. As AI investments grow, ensuring the reliability of data pipelines and AI systems is crucial. Monte Carlo's data and AI observability solutions will help to deliver the foundation for trustworthy AI agents by ensuring the quality, reliability, and performance of the underlying data powering these solutions, including structured, semi-structured, and unstructured sources.

"By addressing the critical need for consistent reliability across the entire data + AI stack, we're enabling organizations to build confident, production-ready AI products, while maintaining full visibility into the health and performance of their data + AI estate,” said Lior Gavish, co-founder and CTO of Monte Carlo.

"As enterprises build more sophisticated AI agents within Cortex AI, observability of both the data powering the agents, and the agents themselves, becomes critical for their reliability and trust," said Kieran Kennedy, VP, Data Cloud Product Partners, Snowflake. "Monte Carlo's expertise in delivering end-to-end data + AI observability that can help our joint customers and ensure their AI systems operate on high-quality data and deliver accurate, dependable results."

Monte Carlo is exploring new ways to extend its data + AI observability leadership to Cortex AI, to help organizations confidently scale the development of reliable AI agents in Snowflake’s AI Data Cloud. This continued focus reflects Monte Carlo’s commitment to supporting the next generation of data-driven AI use cases with the trust, quality, and visibility teams need to move from experimentation to production.

Attending Snowflake Summit? Visit Monte Carlo’s booth at #1508 or check out our other events at the conference: www.montecarlodata.com/snowflake-summit/

Learn how Monte Carlo and Snowflake customers deliver end-to-end data + AI observability across the AI Data Cloud: www.montecarlodata.com/customers/partners-snowflake/

ABOUT MONTE CARLO

Monte Carlo created the data + AI observability category to help enterprises drive mission critical business initiatives with trusted data + AI. NASDAQ, Honeywell, Roche, and hundreds of other data teams rely on Monte Carlo to detect and resolve data + AI issues at scale. Named a “New Relic for data” by Forbes, Monte Carlo is rated the #1 data + AI observability solution by G2 Crowd, Gartner Peer Reviews, GigaOm, ISG, and others.

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