Business Intelligence for the AI Era: Our Series C Investment in Omni
A company’s most useful information rarely fits inside a dashboard. It lives across revenue tables, support conversations, sales calls, and the definitions employees use to make sense of them. AI is making more of that information accessible, but a useful answer still depends on understanding the business.
We’re excited to participate in Omni’s $120 million Series C announcement, led by ICONIQ with participation from First Round Capital, Redpoint Ventures, and GV alongside Theory. The financing values Omni at $1.5 billion and includes a $30 million employee tender offer. Omni reported fourfold revenue growth over the preceding year.
Business context is the foundation
Natural language makes it easier to ask a question. It does not, by itself, define revenue, decide which customers belong in a segment, or determine who can access the answer. Those choices are specific to each organization.
Omni’s semantic model gives dashboards, spreadsheets, SQL, and AI a shared foundation of metric definitions, business logic, and permissions. The same investment in reliable data that supports conventional analytics also supports agents. As more people ask questions, consistency becomes more valuable.
AI expands what counts as analytics
In our conversation, co-founder and CEO Colin Zima describes a customer using AI to review support conversations, identify mistakes, and suggest improvements for individual reps. The source material is text, but it can be investigated alongside the structured information a company already stores about its customers.
That expands the role of business intelligence. A sales leader preparing for a meeting can ask for a customer’s history. A support team can look for recurring gaps in documentation. More people can get a useful first answer without waiting for someone to build a dedicated report.
Reliable reporting and flexible exploration belong together
Colin also makes the case for keeping familiar workflows. A recurring operating report needs consistent definitions and presentation. Exploratory work benefits from a conversation that can change direction. A useful analytics platform has to support both.
Omni connects those experiences. An AI answer can lead into a table with filters a person can inspect and adjust. That makes it possible to explore quickly while retaining a path back to the underlying data. We believe this combination will matter as organizations bring AI into more of their everyday decisions.
A conversation with Colin Zima
Tomasz Tunguz spoke with Colin about natural-language analytics, working with structured and unstructured data, and the financing. In the interview, Colin describes $90 million of capital raised; the company’s published $120 million announcement includes the additional $30 million employee tender.
We’re thrilled to continue supporting Colin, Jamie Davidson, and the Omni team as they make business intelligence useful to more of the people running the business.
