Omni Analytics raises $120M Series C at $1.5B valuation to build the all-in-one BI platform for the AI era
Apr 28, 2026 with Colin Zima
Key Points
- Omni Analytics raises $120M Series C at $1.5B valuation, four years after founding in 2022 and up from $650M Series B valuation a year prior.
- CEO Colin Zima positions the company's semantic layer as a cost-performance argument against rebuilding analytics queries from scratch on every user request.
- Omni targets a consolidated BI platform handling spreadsheets, dashboards, and ad hoc queries rather than overselling a single paradigm like competitors have historically done.
Summary
Read full transcript →Omni Analytics raises $120M Series C at $1.5B valuation
Omni Analytics has closed a $120M Series C at a $1.5B valuation, roughly four years after founding in February 2022. Total funding sits at approximately $147M, following a Series B a year ago at a $650M valuation. The company has been selling for about two and a half years.
CEO Colin Zima — previously at Looker before its Google acquisition — is building what he describes as an all-in-one BI platform: spreadsheets, dashboards, and AI queries unified on top of a semantic layer. The semantic layer is the core architectural bet. Rather than rebuilding an answer from scratch every time someone asks a question, it encodes how a business's data fits together, giving AI a reliable foundation to work from instead of reasoning cold against a raw warehouse.
“We raised $120,000,000, $500,000,000 plus valuation... We are building the next great data platform — a product that can do everything from AI to spreadsheets to dashboards, trying to consolidate all of BI into one tool on top of a semantic layer so that AI does stuff reliably.”
The cost-performance argument
The pitch isn't that general-purpose AI can't answer data questions — it can, and Zima acknowledges that pointing a model at a data warehouse gets you 80% of the way there with minimal setup. The argument is that doing so every time is wasteful. If someone checks ARR against plan every week, rebuilding that query on the fly for every session burns compute unnecessarily. Dashboards and pre-defined metrics exist precisely to avoid that, and Zima argues the analytics tooling built over the last twenty to fifty years already solves a lot of these cost-performance problems cheaply.
All of the above
The sharper positioning is that every major BI vendor has historically oversold one paradigm — Tableau pushed visualizations, Looker pushed the semantic layer, now everyone is pushing AI. Zima's read is that all of them are partially right. Guitar Center, one of Omni's customers, has sent spreadsheet reports to every store for thirty years and will keep doing so. That workflow doesn't need AI reinvention. But the same company also needs live dashboards and ad hoc queries. Omni's argument is that a single tool should handle all three without forcing a choice.
Zima concedes it isn't a glamorous pitch. The round suggests investors are willing to fund pragmatism anyway.
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