Sigma: $80 Million Raised At $3 Billion Valuation For AI Apps And Agentic Analytics Platform

By Amit Chowdhry • Today at 1:06 PM

Sigma, the AI Apps and agentic analytics platform, announced it has raised $80 million in Series E financing at a $3 billion valuation. The funding round was led by Princeville Capital and included participation from Databricks Ventures, ServiceNow Ventures, Workday Ventures, and other investors. Existing investors participating in the round included Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. JP Morgan served as placement agent for the financing.

The company said the financing comes after surpassing $200 million in annual recurring revenue in April 2026 and achieving more than 100% year-over-year growth during its latest fiscal year.

Sigma said it now serves more than 2,000 customers worldwide, including organizations within the Fortune 10 and leading AI innovators. The company also reported adding more than 1.1 million active users during the latest fiscal year.

Mike Palmer, CEO of Sigma, said customers are increasingly using the company’s platform to build and govern AI workflows on cloud data infrastructure.

The company emphasized its focus on enabling enterprises to accelerate AI adoption while maintaining governance, security, and reliability across workflows and applications. Sigma described its platform as supporting “agentic analytics” through AI-powered applications that operate directly on cloud data systems.

Vivian Huang, Partner at Princeville Capital and newly appointed Sigma board member, said the company has positioned itself as a platform for both AI workflows and agentic analytics within enterprises. Huang noted Sigma’s warehouse-native architecture and operating discipline as differentiators for enterprise AI adoption.

Andrew Ferguson, Vice President at Databricks Ventures, said Sigma helps customers maximize the value of lakehouse architectures through spreadsheet-style interfaces combined with AI applications and governance capabilities.

Sigma highlighted several recent product launches and enhancements, including Sigma Agents, customizable no-code AI agents designed to automate workflows within governed cloud data environments. The company additionally introduced Sigma Assistant, an AI copilot that answers data questions and helps users build AI applications using natural language prompts.

Additional releases included Sigma Data Modeling Skills for AI Agents, which enables engineers to build and manage Sigma data models through AI coding agents such as OpenAI Codex, Claude Code, Cursor, and Snowflake Cortex Code. Sigma also launched Sigma MCP Server, which allows users to retrieve governed enterprise data insights through AI assistants including OpenAI ChatGPT and Claude.

The company said Sigma Agents became the fastest-adopted product in its history during the first quarter of the current fiscal year.

Founded as a cloud-native analytics platform, Sigma supports spreadsheet interfaces, SQL, Python, and native AI functionality within a governed workspace connected directly to cloud data warehouses. The company said its platform is used by customers including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.

KEY QUOTES:

“Customers vote with their dollars, and they are voting for Sigma as the place to build and govern AI on their cloud data. IT needs technology that enables the enterprise to go fast in areas like vibe-coded apps and agentic development, while also going safe with permissions management, telemetry, and more. Sigma provides a trusted system to enable agentic analytics through vibe-coded applications while ensuring governance, reliability, and security.”

Mike Palmer, CEO, Sigma

“Sigma has built a platform that enterprises are choosing as the foundation for both their agentic analytics and their AI workflows, with broad customer adoption from global enterprises to leading AI innovators. The company’s warehouse-native architecture and strong operating discipline at scale positions Sigma to lead how enterprises put AI to work on their data.”

Vivian Huang, Partner, Princeville Capital

“Sigma is helping customers unlock the value of their lakehouse by allowing users to begin with an easy-to-use spreadsheet interface, and scale up to the power of AI apps. Sigma’s focus on intuitive, user-driven experiences powered by the governance capabilities of platforms like Unity Catalog speeds enterprises through their adoption of AI at scale.”

Andrew Ferguson, Vice President, Databricks Ventures

“The era of static reports and passive dashboards is giving way to analytics that drive decisions and accelerate action. Sigma has built proven enterprise traction in this transition, and ServiceNow Ventures is excited to support their next chapter.”

Victor Chang, VP, ServiceNow Ventures

“Sigma is fundamentally changing how businesses interact with large scale data. By bringing the familiarity of a spreadsheet to real time enterprise intelligence, they’ve eliminated the bottleneck between information and decision makers. We’re excited to support Sigma as they define the next generation of live collaborative analytics.”

Jeff Wantman, Partner, Workday Ventures