Omni raises $120M round backed by GV for its AI analytics platform

Omni Analytics Inc. today announced that it has closed a $120 million funding round at a valuation of $1.5 billion, more than double what it raised last year.

ICONIQ led the Series C investment. It was joined by Alphabet Inc.’s GV venture capital arm, Redpoint Ventures and others.

Building a business intelligence dashboard has long required employees to manually prepare datasets and write SQL queries. San Francisco-based Omni replaces that workflow with a chatbot interface. According to the company, users can generate data visibility by providing a description of the information they wish to review. They can then enter follow-up questions to expand on their findings.

Omni also makes it possible to interact with data sets in other ways. There is an SQL editor for manually writing queries and a spreadsheet interface. According to Omni, this latest feature has many advantages over Excel.

The spreadsheets that information workers use for statistical tasks often contain data from an external source such as a MySQL database. If the original version of the data changes in the source system, users must manually sync the changes to their spreadsheets. Omni takes that step for itself. It can sync a spreadsheet to data sources like Snowflake and refresh it without manual input when records change.

Statistics-related data such as those that Omni’s chatbot interface is designed to process sometimes contain ambiguities. When a salesperson asks about a store’s sales, the AI ​​may struggle to figure out whether it should return data about the company’s physical stores or its e-commerce website. Omni uses a so-called semantic model to address the challenge. It is a set of definitions that describe how AI platform models should interpret business terms.

“When someone asks, ‘How did my team do in the last quarter?’ Omni’s AI uses shared meanings from the semantic layer,” wrote Omni Chief Executive Officer Colin Zima. blog post. “It works as a user to respect granular security. It shows its thinking.”

The context model feature allows users to make similar data descriptions available to external AI models. Staff can also provide other information such as the best way to run SQL queries on a dataset. According to Omni, that information makes it easier for third-party neural networks to analyze business datasets.

The company’s feature set also includes other use cases. Developers can integrate Omni’s powerful data visualization into their custom software and align the graph design with the application interface. AI agents, on the other hand, can interact with the platform through the MCP server.

Omni says today’s funding follows a year in which revenue tripled. The company lists Perplexity AI Inc., dbs Labs Inc. and other prominent technology industries among its customers.

Image: Omni