Sigma Gets $80M to Grow Its AI Analytics Business

Sigma Computing closes an $80 million Series E round at a $3 billion valuation, backed by Princeville Capital, Databricks, ServiceNow, and Workday Ventures.

Sigma Computing has closed an $80 million Series E funding round at a $3 billion valuation, the company announced Sunday. The latest raise doubles its previous valuation and signals strong investor confidence in enterprise AI analytics.

Princeville Capital led the round. Additionally, new investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures joined in. Several returning backers also participated, including Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. JPMorgan served as the placement agent.

Sigma describes itself as an AI Apps and agentic analytics platform. Specifically, it sits on top of cloud data warehouses from providers such as Snowflake, Databricks, and Google BigQuery. Business teams use it to query live data and build applications all without writing SQL. Meanwhile, IT teams retain full governance and security controls already configured in the underlying warehouse.

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Similarly, Sigma Agents the company’s no-code autonomous AI product became the fastest-adopted feature in Sigma’s history. Its launch coincided with a broader industry shift away from static business intelligence dashboards and toward AI-driven, action-oriented workflows.

Customers vote with their dollars, and they are voting for Sigma as the place to build and govern AI on their cloud data. He added that enterprises need tools that allow them to move fast in areas like AI app development while also maintaining strict security and oversight controls.
Mike Palmer, CEO, Sigma

Palmer stated that the company’s platform provides what he called a “trusted system” for agentic analytics. In his view, speed and safety no longer have to be trade-offs for enterprise technology teams.

Vivian Huang, Partner at Princeville Capital, joins Sigma’s board of directors following the investment. She pointed to Sigma’s warehouse-native architecture and its operational discipline at scale as the key reasons for backing the company.

The funding arrives at a moment when “agentic analytics” has become a competitive battleground. SAP, Google, and Snowflake have all moved to embed AI agents into their enterprise stacks in 2026. However, Sigma’s argument is that it was already positioned there through Sigma Agents.

Sigma Agents operate in three distinct modes. First, there is interactive mode, where a user chats with the agent and approves actions before they execute. Second, autonomous mode allows the agent to monitor data and run workflows on a schedule without human intervention. Third, external mode enables the agent to make API calls to third-party systems. Together, these modes cover a wide range of enterprise automation needs.

Unlike many AI platforms that treat security as an afterthought, Sigma embeds governance directly into the platform architecture. Permissions management, telemetry, and compliance controls are built into every workflow by default. This approach addresses one of the most consistent barriers companies face when scaling AI inside the enterprise.

Beyond Sigma Agents, the company has also shipped Sigma Assistant. This AI copilot allows users to ask data questions and build AI applications using plain natural language prompts no technical expertise required. Both products aim to bring analytical power directly to business users without involving the data engineering team on every request.

With $80 million in fresh capital, Sigma is positioned to accelerate product development and expand its enterprise customer base. The company is competing in a market where SAP unveiled more than 200 AI agents at its Sapphire 2026 event, and where Snowflake recently announced a $200 million partnership with OpenAI to embed AI directly into the data warehouse layer.

Disclaimer: This news is based on publicly available information. NervNow has not independently verified any claims.

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