Key Takeaways
- • Omni raised $120 million in Series C funding at a $1.5 billion valuation, more than doubling its $650 million valuation from March 2025, reflecting accelerating enterprise AI adoption and 4x year-over-year revenue growth.
- • ICONIQ led the round with participation from returning investors Theory Ventures, First Round Capital, Redpoint Ventures, and GV; the funding includes a $30 million employee tender offer.
- • The AI analytics platform addresses a documented market gap: enterprise AI tools often query raw data without understanding company-specific business logic, metrics definitions, and permissions, producing unreliable results that undermine ROI on AI investments.
- • Omni's semantic model architecture connects to enterprise data estates and serves as a governed foundation for internal and external AI agents, enabling natural language queries with verifiable, permission-controlled outputs.
- • Named customers including BambooHR, Cribl, and Guitar Center are already deployed at scale, signaling traction in the enterprise segment as companies consolidate legacy business intelligence use cases into AI-native workflows.
Summary
Omni, a San Francisco-based AI analytics platform, announced a $120 million Series C funding round at a $1.5 billion valuation on April 23, 2026. The valuation represents a decisive step-up from the company's $650 million valuation in March 2025—a 131% increase in less than fourteen months. ICONIQ led the round, with participation from existing investors Theory Ventures, First Round Capital, Redpoint Ventures, and GV. The round included a $30 million employee tender offer, allowing staff to liquidate equity at the new valuation.
The company's valuation trajectory reflects strong underlying business momentum. Omni reported 4x year-over-year revenue growth and tripled revenue year-to-date, driven by enterprise consolidation of legacy business intelligence platforms and accelerating adoption of AI data products. This growth occurs within a broader market context: according to a Deloitte report on enterprise AI adoption, worker access to AI tools rose 50% in 2025, and the number of companies with more than 40% of AI projects in production is expected to double within six months. However, most enterprise AI implementations face a critical reliability problem—AI tools typically query raw data without understanding how companies define their own metrics, permissions, and business logic, producing results that are difficult to verify and trust.
Omni addresses this gap through its semantic model architecture. The platform turns enterprise data into a governed, auditable "source of truth for AI" by building a shared metrics layer with embedded permissions and Git version control. Users query this semantic foundation in plain English, refine results in workbooks, and integrate Omni intelligence into existing enterprise tools. The platform serves as what the company describes as a "governed context graph" for the enterprise, connecting to a company's full data estate and providing semantic foundation for both native and external AI agents.
The company was founded in 2022 by Colin Zima, Jamie Davidson, and Chris Merrick, all three of whom hold prior experience at foundational data industry companies including Looker, Google, Stitch, and Talend. Named customers already deployed at scale include BambooHR, Cribl, and Guitar Center, demonstrating adoption across human resources, data pipeline, and retail segments. The funding positions Omni to accelerate product development and market expansion as enterprise adoption of trustworthy AI data infrastructure continues to accelerate.
The company's valuation trajectory reflects strong underlying business momentum. Omni reported 4x year-over-year revenue growth and tripled revenue year-to-date, driven by enterprise consolidation of legacy business intelligence platforms and accelerating adoption of AI data products. This growth occurs within a broader market context: according to a Deloitte report on enterprise AI adoption, worker access to AI tools rose 50% in 2025, and the number of companies with more than 40% of AI projects in production is expected to double within six months. However, most enterprise AI implementations face a critical reliability problem—AI tools typically query raw data without understanding how companies define their own metrics, permissions, and business logic, producing results that are difficult to verify and trust.
Omni addresses this gap through its semantic model architecture. The platform turns enterprise data into a governed, auditable "source of truth for AI" by building a shared metrics layer with embedded permissions and Git version control. Users query this semantic foundation in plain English, refine results in workbooks, and integrate Omni intelligence into existing enterprise tools. The platform serves as what the company describes as a "governed context graph" for the enterprise, connecting to a company's full data estate and providing semantic foundation for both native and external AI agents.
The company was founded in 2022 by Colin Zima, Jamie Davidson, and Chris Merrick, all three of whom hold prior experience at foundational data industry companies including Looker, Google, Stitch, and Talend. Named customers already deployed at scale include BambooHR, Cribl, and Guitar Center, demonstrating adoption across human resources, data pipeline, and retail segments. The funding positions Omni to accelerate product development and market expansion as enterprise adoption of trustworthy AI data infrastructure continues to accelerate.
Go deeper than the headline
Research every firm in this story, track the ones that matter and get the daily briefing — free for 7 days.