Exclusive: Omni raises $120 million to fix one of AI's biggest enterprise data problems | Fortune
Briefly

Exclusive: Omni raises $120 million to fix one of AI's biggest enterprise data problems | Fortune
"Omni builds what's known as a semantic layer: The governed translation layer that sits between a company's raw data and whatever or whoever is querying it. Think of it as a living rulebook that defines what revenue means, who can see which numbers, and how key metrics should be calculated."
"Zima sees the current moment as a genuine inflection point. 'It was a latent demand that had always been there,' he told Fortune. 'The tools just weren't ready.'"
Omni addresses the disconnect in data translation that companies face despite investing in data warehouses and business intelligence tools. The company has raised $120 million in Series C funding, valuing it at $1.51 billion. Omni creates a semantic layer that governs the translation of raw data for users. Its co-founders, all Princeton graduates, previously worked at Looker. Omni competes with companies like OpenAI and Snowflake, but its unique architecture offers a competitive edge. The current market reflects a significant demand for effective data translation solutions.
Read at Fortune
Unable to calculate read time
[
|
]