Omni, the AI-based analytics platform, disclosed the completion of its Series C funding round that brought in $120 million at a $1.5 billion valuation. The funding round was led by ICONIQ, and Theory Ventures, First Round Capital, Redpoint Ventures, and GV also participated. The funding also includes a $30 million employee tender offer, marking a significant jump from the company’s $650 million valuation in March 2025. This growth is fueled by a fourfold year-over-year revenue increase as enterprises consolidate legacy BI tools, accelerate AI adoption, and build AI-powered data products using Omni.
“AI isn’t replacing analytics, it’s expanding it,” said Colin Zima, CEO & 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 for it. This is how data work is changing. Our customers are already doing it — they’re encoding their business context and using AI to work smarter.”
Solving the Trust Gap in AI-Driven Data Analytics
As more and more organizations incorporate AI across their data ecosystems, a lot of them are running into issues with accuracy, governance, and trust. Traditional AI solutions, for example, may generate queries without any knowledge of the business logic or access controls, which means that their outputs are not reliable and the stakeholders have no way to verify them.
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Omni tackles this problem with its semantic modela regulated context graph that consolidates metric definitions, business logic, and permissions. This aggregated model is the backbone of not only dashboards and spreadsheets but also SQL queries and AI-generated insights, which all enjoy the benefit of consistency and reliability. As governance is implemented right at the core of AI workflows, the platform is able to output the very results that a professionally trained data analyst would produce.
“That’s relevant, untapped business context everywhere,” said Sarah Fischbach, Staff Analytics Engineer at Checkr. “Omni stands out because it makes all of our knowledge structured and durable for smarter AI. It gets more valuable as more people and more AI tools depend on it. Building in Omni’s governed context graph lets us capture institutional knowledge that compounds.”
Scaling AI Analytics Across Enterprises
Organizations are already leveraging Omni’s capabilities at scale. Companies such as BambooHR, Checkr, Cribl, and Guitar Center are using the platform to consolidate BI tools, enable self-service analytics, and build AI-ready data foundations.
Omni’s agentic capabilities further extend its reach beyond the core platform. Users can query governed data through tools such as Claude, ChatGPT, Cursor, and Visual Studio Code, while maintaining consistent business logic and permissions. This enables teams to work within familiar environments without compromising data governance.
“The barrier in data has shifted from access to understanding,” said Matt Jacobson, Partner at ICONIQ. “Everyone can ask questions, but without a shared layer of business context, the answers can break down. We believe the real problem was never accessibility — it was trust. And we believe Omni is building the missing layer. Data analytics is one of the top workloads for AI agents, and Omni is building a governed data layer to help those agents to get it right. We believe they will be the leading platform in the data analytics category.”
With integrations across major data platforms such as Snowflake, Google BigQuery, Databricks, Amazon Redshift, PostgreSQL, and ClickHouse, Omni continues to position itself as a foundational layer for AI-powered analytics across modern enterprises.
