Omni Analytics

Omni Analytics was started in 2022 by Colin Zima, Jamie Davidson and Chris Merrick, who previously led data products at Looker, Google, Stitch and Talend. Based in San Francisco with hubs in Toronto, Dublin and Sydney, it addresses the split between governed BI and the ad-hoc spreadsheets and SQL that analysts actually use.

Omni is built on a shared semantic model that stores metric definitions, business logic and permissions. The same model powers dashboards, a spreadsheet interface with formulas on live data, a SQL IDE and AI chat, so answers stay consistent. An AI assistant answers and diagnoses metric changes, a Modeling Agent helps build metrics, and governed data can be queried from Claude, ChatGPT and Cursor via MCP. Omni also offers white-label embedded analytics. Customers include BambooHR, Checkr, Cribl, dbt Labs, Perplexity, Mercury and Synthesia.

• Semantic model: Shared metric definitions, joins and permissions reused across every interface.
• AI analyst: Chat-based questions, follow-ups, metric diagnosis and scheduled AI summaries.
• Spreadsheets on live data: Familiar formulas, forecasting and modeling on governed warehouse data.
• SQL IDE: Raw SQL with autocomplete for analysts alongside point-and-click exploration.
• Embedded analytics: White-label dashboards with SSO embedding, APIs and an MCP server.
• Git-based governance: Branch mode and version control for model and AI context changes.

A Vietnamese retail or consumer brand running Snowflake or BigQuery can give finance and merchandising teams spreadsheet-style analysis on governed data. A SaaS company can embed customer-facing dashboards. A fintech can let managers ask AI questions about loan or payment metrics with consistent definitions.

One semantic model feeds dashboards, spreadsheets, SQL and AI, so different teams see the same numbers. Business users get self-service analysis in a familiar spreadsheet interface on live warehouse data. Customer examples on the site include Cribl serving 700+ monthly users and Photoroom supporting 100+ people with a three-person data team. AI-generated queries respect the model's definitions and access controls.

Enterprises are consolidating legacy BI tools and want AI answers they can verify, which requires a governed semantic layer under every interface. Omni attributes its 4x year-over-year revenue growth to this consolidation and to AI adoption; similar modernisation is under way at digital companies in Asia-Pacific.

Founders reunited in 2022 to build Omni; HQ San Francisco with hubs in Santa Cruz, Philadelphia, Toronto, Dublin and Sydney. Raised a $120M Series C in April 2026 at a $1.5B valuation led by ICONIQ, up from $650M in March 2025. Acquired embedded analytics company Explo in October 2025. Investors include Snowflake Ventures and Databricks.