Business intelligence platform Omni announced it has raised $20M from Theory Ventures. In addition, the company shared that Lambert Billet, who spent over a decade as the Chief Revenue Officer at Looker and another decade growing enterprise software solutions for companies like Oracle and HP, has joined the board of directors. Omni will use the capital to continue to build its platform.

“Using Omni has provided our teams with fast development tooling with an emphasis on flexibility for users to get the insights we need.”

“Until now, BI tools have forced you to choose between a governed tool that provides consistent metrics or a flexible one that makes it easier for everyone to use data. You never get both without buying multiple tools, which defeats a lot of the purpose. We built Omni so you don’t have to compromise. Everyone should be able to trust and use their data,” said Omni CEO and co-founder Colin Zima.

“We’ve seen Lambert’s exceptional track record and ability to build and lead high-performing teams firsthand, so we know he’ll be a great addition to our board as we embark on this next phase of growth,” said Jamie Davidson, Omni co-founder and President. “We’re grateful for his expertise and guidance at Omni.”

Marketing Technology News: Microsoft Unveils New Generative AI and Data Solutions Across the Shopper Journey, Offering Copilot Experiences Through Microsoft Cloud for Retail

“Throughout my career, I’ve been very fortunate to work with some of the fastest-growing companies. Omni is on that trajectory. The customer growth they’ve achieved since launching is validation that they’re tackling the biggest unsolved problem in BI. After taking some time off, I couldn’t resist jumping at the chance to play a part in helping them build,” said Lambert Billet, Omni Board Member and Former Chief Revenue Office at Looker.

Companies across the globe, including The Rounds, Ascend, Rose Rocket and Ubaq, rely on Omni to:

• Increase data access and self-service – companies achieve up to 100% corporate adoption within the first month of implementation
• Reduce software costs – companies save as much as 75% when switching from Looker to Omni
• Save technical resources – companies see an 80% reduction in questions to the data team after implementing Omni

“Planet provides data and analytics that are mission critical to companies and governments all over the world, so getting our own internal data right is critical,” said Kevin Weil, President of Planet, the leading provider of global, daily satellite imagery and geospatial solutions. “Using Omni has provided our teams with fast development tooling with an emphasis on flexibility for users to get the insights we need.”

Marketing Technology News: MarTech Interview with Karen Ng, SVP of Product and Partnerships at HubSpot

“Omni picked up where Looker left off. Based on the team’s experience helping thousands of companies with their data over the last decade, Omni is addressing a lot of the gaps left by previous generations of BI — and bringing a lot of new features to the table. Just two years in, it’s remarkable to see how they’re bringing about the next generation of data by bringing more users under the tent,” said Tomasz Tunguz, founder of Theory Ventures. “I’m thrilled to double down on Omni.”

Omni rolled out commercial availability last February — one year after being founded. Since then, development has continued to accelerate to launch improvements, from making it easier to model data and integrate with dbt to new methods for data delivery, including email and Slack. Late last year, Omni launched its second core product, embedded analytics, to make it easier for companies to add data into their product. This month, it announced Calculations AI, which uses an LLM to inject spreadsheet-style formulas directly into Omni tables.

“Our goal at Omni is to make BI better — faster, more flexible and powerful — without adding unnecessary complexity,” said Christopher Merrick, CTO and Co-Founder at Omni. “We leaned into SQL and Excel syntax because people love and trust them. With AI, we’ve taken the same approach by marrying a natural language UI to our data model to ensure accuracy and usability. It’s simple to use and will save you a ton of time.”