Listen to this articleOmni, the San Francisco-based AI analytics platform, secured $120 million in Series C funding. The round comes as the company reports revenue quadrupling year over year and tripling in 2026, driven by strong enterprise adoption of its governed semantic layer and conversational AI tools.
Omni, an AI powered analytics platform based in San Francisco, announced that it raised $120 million in a Series C funding round at a $1.5 billion valuation. The round was led by ICONIQ, with participation from existing investors Theory Ventures, First Round Capital, Redpoint Ventures, and GV (Google Ventures). It includes a $30 million employee tender offer, providing liquidity to staff as the company reaches unicorn status.
What is Omni?
Omni was founded approximately four years ago (around 2022) by former Looker executives, including CEO Colin Zima, who previously served as Looker’s chief analytics officer and vice president of product. The company positions itself as the “AI analytics platform for the enterprise,” addressing challenges in data accessibility, governance, and AI integration by combining conversational AI with traditional analytics tools.
Its core offering features an AI chat interface for natural language queries, context aware follow-ups, metric analysis (drivers/drags, diagnostics), dashboards, spreadsheets on live governed data, point and click tools, and a SQL IDE. A key differentiator is its semantic layer, which captures team knowledge, defines core business logic, and enables trustworthy AI agents across chat, embeddings, and integrations. This layer supports white label embedding, SSO, APIs, and an MCP server, allowing seamless integration into other platforms while maintaining data security through permissions, branch mode for safe testing, and Git-based version control.
The funding follows strong traction:
- Revenue quadrupled year over year in the prior period.
- Revenue tripled year to date in 2026.
- Significant acceleration in AI adoption, with enterprise customers consolidating legacy BI tools and building AI data products on Omni’s platform.
- Usage metrics show rapid expansion, including nearly doubled AI session activity in recent weeks.
Customers include organizations like Cribl, Photoroom, Synthesia, Guitar Center, and BambooHR, which report benefits such as self service analytics for hundreds of users, faster custom reporting, and reliable AI insights without hallucinations or governance risks.
The valuation more than doubled from $650 million in its March 2025 Series B (which raised $69 million, also led by ICONIQ). Cumulative funding now stands at approximately $217 million.
This round occurs amid a broader shift where enterprises invest heavily in data infrastructure (warehouses, BI tools) but struggle with the “translation layer”, turning raw data into consistent, actionable insights for AI agents and human users. Omni’s semantic model aims to solve this by providing governed, context rich data that AI can reliably query, reducing fragmentation across tools and enabling agentic workflows (e.g., automated metric building, documentation integration, and query management).
ICONIQ partner Matthew Jacobson and other investors highlight Omni’s role in the evolving AI data stack, drawing parallels to foundational players like Snowflake and Looker in enterprise analytics infrastructure.
Proceeds will support:
- Platform development, particularly agentic AI features and integrations.
- Enterprise sales expansion.
- Scaling operations to meet demand from AI driven analytics adoption.
The employee tender reflects confidence in long term value and helps retain talent in a competitive market.
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Omni operates at the intersection of business intelligence, embedded analytics, and AI infrastructure. It differentiates from pure BI tools (e.g., legacy Tableau or Power BI) by deeply embedding AI while maintaining familiar interfaces (spreadsheets, SQL, dashboards). Unlike general purpose AI chat tools, it emphasizes governance and semantic consistency to prevent errors in enterprise settings.
The timing aligns with surging enterprise interest in “AI ready” data layers, as companies seek to move beyond simple dashboards toward proactive insights, automated diagnostics, and AI agents that act on governed data. Weekly engineering updates on the site (e.g., visualization layers, AI cost tooling) indicate active iteration on usability and efficiency.
The $120M Series C underscores investor conviction in Omni’s ability to become a core component of the modern enterprise data stack, capitalizing on the convergence of AI adoption and the need for reliable, scalable analytics. The substantial valuation uplift and revenue momentum position the company as a notable player in AI analytics four years post founding.
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