Sema4.ai, an enterprise AI agent company, announced the general availability of its Sema4.ai Team Edition on Snowflake Marketplace. The company also revealed a $25 million Series A extension round, bringing its total Series A funding to $55.5 million. The funding round includes participation from Snowflake Ventures, Rocketship VC, MVP Ventures, and COX Enterprises, along with returning investors Mayfield and Benchmark.
How this funding will be used: This funding will support the company’s rapid growth and continued innovation in enterprise AI agents.
Problem being addressed: AI adoption is accelerating, but many teams still struggle to move beyond proof of concept due to complex integration and production deployment challenges. Sema4.ai Team Edition addresses this issue by enabling one-click deployment of AI agents directly from Sema4 Studio into their Snowflake environment, using Snowpark Container Services and Snowflake Cortex AI. This helps teams to build, test, and operationalize AI agents securely and quickly without writing code or disrupting existing workflows.
Team Edition enables Snowflake data app developers and business analysts to deploy agents directly from Sema4 Studio to Snowflake with one click, automating forecasting, insight extraction, and data workflows using their enterprise context and secure data. Sema4.ai integrates with Cortex AI, enabling customers to leverage enterprise applications, connect to non-Snowflake data sources, and orchestrate Cortex AI services such as Cortex Search, Cortex Analyst, Document AI, and more. This unlocks automation that accelerates the path from insight to action.
Key Features: Some of the key features include:
1.) One-click deployment from Sema4 Studio allows teams to build, test, and deploy AI-powered data applications into Snowflake.
2.) Built for non-technical users and data app developers, it enables users to utilize agents to complete tasks such as forecasting, churn modeling, and data analysis using natural language, meaning no SQL or coding is required.
3.) Pre-built integrations with Cortex AI services via the Action Gallery, support for Model Context Protocol (MCP) servers, and an SDK for custom enterprise actions enable AI agents to leverage the full spectrum of Snowflake data for deeper, more accurate insights.
4.) 24/7 secure AI agent operations within Snowflake’s governance framework utilize Anthropic Claude via Cortex AI to harness large language models (LLMs) without moving sensitive data outside Snowflake.
5.) The ability to understand enterprise context and work across structured, semi-structured, and unstructured data, using Document AI, delivers accuracy, reliability, and predictability.
6.) Seamless sharing and collaboration enable teams to discover and work with AI agents through a shared environment.
KEY QUOTES:
“Sema4.ai Team Edition gives enterprises a new way to turn insights into agentic action. By combining Snowflake’s powerful Cortex AI tools for analyzing structured and unstructured data with the Sema4.ai platform, customers can rapidly build and deploy agents that execute work across multiple data sources and high-priority applications.”
Rob Bearden, Co-Founder and CEO of Sema4.ai
“Sema4.ai provides customers the ability to activate their data stored in Snowflake. With Team Edition, they’re joining Snowflake in making AI agents accessible to a broader range of users, technical and non-technical alike, right at the source of their data. We’re proud to support a platform that’s making secure, enterprise-grade AI both practical and scalable across the Snowflake ecosystem.”
Harsha Kapre, Director, Snowflake Ventures
“At Koch Engineered Solutions (KES), a key objective in our IT vision is ‘simplification.’ Part of our modernization and maturity journey as a capability supporting our KES businesses, we are developing a ‘Data First Architecture’ together with our partners at Sema4.ai and Snowflake. This will enable KES to leverage our data where it already lives, eliminating the risk of data egress. The seamless integration of Sema4.ai Team Edition into the Snowflake ecosystem will make it easy and secure to deploy powerful AI agents that execute real work.”
Brad Hoefler, Chief Technology Officer, KES
