Omni Raises $120M to Build the Governed Data Layer For AI Agents

Omni is a semantic layer: a governed, version-controlled bridge between a company's raw data and every tool used to query it.

Updated on Apr 24, 2026 07:09 PM
Omni Raises $120M to Build the Governed Data Layer For AI Agents - feature image

SAN FRANCISCO: Omni has raised $120 million in a Series C round at a $1.5 billion valuation to scale its AI analytics platform for enterprise data teams. ICONIQ led the round. GV, Redpoint Ventures, Theory Ventures, and First Round Capital all participated. The round includes a $30 million employee tender offer. Total funding now stands at $217 million.

Omni was founded in 2022 by Princeton graduates Colin Zima, Jamie Davidson, and Chris Merrick, all previously at Looker. The core product is a semantic layer: a governed, version-controlled bridge between a company’s raw data and every tool used to query it.

When an AI agent queries Omni, it follows the same business logic, access rules, and metric definitions that a trained analyst would apply. The result is consistent answers, not hallucinations shaped by ambiguous schema.

That governance layer is why the round happened. AI agents are now querying enterprise data at volumes that dwarf human traffic. Across Omni’s customer base, 45% of documentation traffic already comes from AI agents.

Claude Code alone generated 199 million documentation requests in one month. Without a governed semantic layer underneath, those queries produce unreliable outputs that enterprise teams cannot act on. Omni solves that before the query reaches any model.

Revenue grew four times year-over-year and has already tripled in 2026. The company reached profitability for the first time last month. BambooHR launched its Elite Analytics product to over 30,000 users using Omni within the first four months. Cribl fully migrated in three months. Guitar Centre consolidated multiple BI tools into a single Omni-governed foundation.

The $120 million will fund enterprise sales expansion, deeper data warehouse integrations with Snowflake, BigQuery, and Redshift, and accelerated development of agentic features.

Published on April 26, 2026

Amita Parul

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Amita Parul is an Independent journalist with experience in reporting and commentary on current events and sociopolitical developments. She contributes original reporting and analysis that aligns with Tea4Tech’s editorial standards for accuracy, transparency, and context, focusing on business and technology trends. Amita covers emerging news storie...

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