Omni, a San Francisco-based analytics platform, has raised $120 million in a Series C funding round at a $1.5 billion valuation. The company was co-founded in 2022 by Colin Zima, Jamie Davidson, and Chris Merrick, all three of whom spent time at companies that helped define the data industry: Looker, Google, Stitch, and Talend. Their starting point was a straightforward observation: AI tools are only as reliable as the business data they draw from.

The funding comes at a moment when enterprise AI adoption is accelerating faster than many companies can manage it. According to a Deloitte report on the state of AI in the enterprise, worker access to AI rose by 50% in 2025, and the number of companies with more than 40% of AI projects in production is expected to double within six months. A lot of that investment, though, is not delivering trustworthy results. Most AI tools query raw data without understanding how a company actually defines its own numbers, and the answers they produce are hard to verify. The gap between what companies spend on AI and what they reliably get out of it has become a real and documented problem.

Omni’s Series C was led by ICONIQ, with participation from existing investors Theory Ventures, First Round Capital, Redpoint Ventures, and GV. The round includes a $30 million employee tender offer. Omni’s valuation was $650 million as recently as March 2025, so the jump to $1.5 billion reflects the company’s 4x year-over-year revenue growth.

Why AI analytics without business context tends to fail

The problem Omni is addressing is not unique to AI, but AI has made it harder to ignore. Business intelligence tools were originally built for trained analysts who understood the context behind the numbers. When AI handles queries instead, it often pulls from raw data that lacks shared definitions. One team might define “active users” differently from another. Access permissions can get bypassed. The result is figures that look correct but cannot be trusted.

Omni’s approach centers on what it calls a semantic model. Think of this as a single reference layer that holds a company’s metric definitions, business logic, and permission rules in one place. Every query passes through it, whether that query comes from a dashboard, a spreadsheet, a SQL editor, or an AI assistant. The answer that comes back is consistent with what a trained analyst would have produced.

“The barrier in data has shifted from access to understanding. 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.”

Matt Jacobson, Partner at ICONIQ

How Omni’s customers are already using the platform

Several companies have already deployed Omni at significant scale. BambooHR launched its Elite Analytics product to more than 30,000 users within its first four months on Omni, and the product now reaches over 100,000 people. Cribl migrated its entire company to Omni in three months. Guitar Center moved away from multiple separate business intelligence tools and consolidated onto a single Omni-based setup.

Beyond the core platform, Omni allows users to query their governed data from external AI tools including Claude, ChatGPT, Cursor, and VS Code. Any query made through those tools still runs through the same business logic and access controls as a query made natively inside Omni. Companies can use the AI tools their teams already work with, without losing consistency or governance.

Revenue tripled in the year to date, after growing 4x the year before.

The founders and what Omni actually does

Zima and Davidson came from Looker and Google; Merrick from Stitch and Talend. They founded Omni in 2022 to address a tension they had seen repeatedly in data teams: the choice between fast answers and reliable ones. Getting answers quickly often meant inconsistencies that took hours to debug. Building proper controls slowed everything down.

The product gives every query a common reference point. A user asks a question in plain English. The platform consults its governed context layer to determine the correct definition of the metric being asked about, checks who is allowed to see what, and returns an answer that matches what a trained data analyst would produce. That same layer is accessible to external AI agents via Omni’s MCP server and its integrations with tools like Cursor and VS Code. Supported data platforms include Snowflake, Google BigQuery, Databricks, Amazon Redshift, Postgres, and ClickHouse, among others.

“AI isn’t replacing analytics, it’s expanding it. 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.”

Colin Zima, CEO & co-founder of Omni

Current customers include BambooHR, Checkr, Cribl, dbt Labs, Guitar Center, Heidi AI, Mercury, Pendo, and Synthesia. The company operates across San Francisco, Santa Cruz, Philadelphia, Toronto, Dublin, and Sydney.

The investors behind the round

ICONIQ led the Series C. Theory Ventures, First Round Capital, Redpoint Ventures, and GV participated as returning investors. Earlier backers include Quiet Capital, BoxGroup, Scribble Ventures, Tokyo Black, Snowflake Ventures, and Databricks Ventures. The presence of Snowflake and Databricks as investors is notable given that both are major data warehouse platforms Omni directly integrates with.

At $1.5 billion, this is the highest valuation Omni has reached to date, up from $650 million in March 2025.

Origianl Creator: Ekaterina Pisareva
Original Link: https://justainews.com/companies/funding-news/omni-raises-120m-series-c-at-1-5b-valuation/
Originally Posted: Thu, 23 Apr 2026 18:18:36 +0000