Omni has received $120 million in Series C funding, putting the company at a $1.5 billion valuation. ICONIQ led the funding round and also included Theory Ventures, First Round Capital, Redpoint Ventures and GV (Google Ventures).
The funding coincides with a massive growth spurt the San Francisco startup has undergone. “Omni’s ARR quadrupled in a year as the company helped more companies connect the dots between their raw data and generative AI agents,” reports. The latest round, which involves an employee tender of $30M, values the business at more than twice its earlier valuation of $650M as at 07/03.
While the market for AI agents has expanded rapidly, many organizations have struggled with “hallucinations”, instances where AI models provide confident but inaccurate data. Omni solves this by providing a governed semantic layer. This layer acts as a “source of truth”, ensuring that whether a human asks a question via a dashboard or an AI agent queries the data via an API, the answer remains consistent.
“AI isn’t replacing analytics; it’s expanding it,” said Colin Zima, CEO and co-founder of Omni. “Dashboards and spreadsheets aren’t going away, but now anyone can get instant answers without technical expertise. To capture that advantage, you need to build a system that understands your business logic. That is what Omni provides.”
Originally known for its flexible business intelligence (BI) tools that combine the ease of spreadsheets with the power of SQL, Omni has pivoted aggressively toward the “agentic” era. This company has recently rolled out an MCP (Model Context Protocol) server and open APIs, so their governed data can now be called directly in popular AI applications such as Claude, ChatGPT, Cursor and VS Code.This approach has drawn an impressive list of customers such as BambooHR, Checkr, Cribl and Guitar Center. For example, BambooHR deployed Omni to bring its “Elite Analytics” product to over 30,000 users in four months, growing to over 100,000 users.
The $120 million influx will be used to accelerate Omni’s enterprise sales strategy and deepen its integrations with major data warehouses such as Snowflake, Databricks, and Google BigQuery.
Industry analysts suggest that Omni’s rapid rise poses a significant challenge to legacy BI providers. While older platforms are attempting to “bolt on” AI features, Omni’s architecture was built from the ground up to serve as a context graph for both humans and machines. With the company reaching profitability for the first time last month and revenue already tripling year-to-date in 2026, Omni appears positioned to lead the next generation of data infrastructure.