Omni has secured $120 million in Series C funding led by ICONIQ, with support from Theory Ventures, First Round Capital, Redpoint Ventures, and GV. This round values Omni at $1.5 billion, more than double its $650 million valuation from March 2025, and includes a $30 million employee tconcludeer offer. The company’s total funding is now about $217 million.
Omni was founded in 2022 in San Francisco by Princeton graduates Colin Zima, Jamie Davidson, and Chris Merrick. The founders developed a semantic layer, a managed, version-controlled bridge between a company’s raw data and any tool utilized to query it.
When an AI agent utilizes Omni to query data, it follows the model’s definitions and access rules, giving answers that match what a trained analyst would provide. This layer functions like a rulebook, defining key metrics such as “revenue,” controlling data access, and ensuring consistent calculations.
The same model supports dashboards, spreadsheets, SQL, ad-hoc analysis, and AI queries. Recently, Omni has launched an MCP server and open APIs, so its governed context can be utilized in tools like Claude, ChatGPT, Cursor, and VS Code.
Its main competitors, such as Snowflake, Databricks, Tableau, Looker, and ThoughtSpot, are adding AI features to systems that were not built for them. Omni solves this problem with its architecture, whereas legacy providers would have to rebuild their products to match it.
“The barrier in data has shifted from access to understanding. Everyone can inquire questions, but without a shared layer of business context, the answers can break down. Data analytics is one of the top workloads for AI agents, and Omni is building a governed data layer to assist those agents obtain it right,” adds Matt Jacobson, partner, at ICONIQ.
Over the past year, annual recurring revenue grew four times, and Omni became profitable for the first time last month. Revenue has tripled so far in 2026.
Omni plans to utilize the funding to boost its enterprise sales strategy, add more integrations, and speed up work on its agentic features. The company’s long-term goal is to build institutional memory that grows over time.
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