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Large Language ModelsFortune AIPublished: Apr 23, 2026, 19:00 JST1 min read

Omni raises $120 million to build a translation layer that lets AI understand company databases — now valued at $1.51 billion

Omni raises $120 million to build a translation layer that lets AI understand company databases — now valued at $1.51 billion

3 Key Points

  1. Omni, a startup backed by Iconiq Capital, closed a $120 million funding round to scale its 'semantic layer' — software that translates a company's internal databases into language that both AI agents (autonomous software that makes decisions) and human employees can understand.

  2. Instead of forcing AI to navigate raw database tables and column names, Omni's software sits between the data and the AI, explaining what each piece of information means in business terms. This lets an AI assistant answer questions like 'which customers churned last quarter?' without engineers writing custom code to connect the AI to the database.

  3. For business teams, this means AI can finally access your company's actual data — sales records, customer information, inventory — without IT bottlenecks. A marketer could ask an AI to analyze customer trends directly from the CRM; a finance analyst could get real-time budget reports. Today, most enterprise AI is locked out of company databases or requires manual integration work that takes weeks.

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