Nebuly raises $21 million Series A to measure enterprise AI returns

Nebuly raised $21 million in a Series A led by Planven to expand a platform that it says measures the business value generated by enterprise AI agents. In its funding announcement, the company said the capital will support further product development and growth of its go-to-market team in the United States and Europe.

The round also included Exor Ventures, Tenacity Capital, TGVG Capital and Fastweb+Vodafone through Founders Factory, according to Nebuly. Returning investors and angel investors also participated, the company said, while CDP Venture Capital SGR supported the financing through its Artificial Intelligence Fund and Digital Transition Fund. Nebuly did not disclose its valuation, the round’s structure or its total funding to date.

Another recent financing in the category was Larridin’s $30 million Series A, which backed a separate platform for tying enterprise AI spending and adoption to workflow output.

Nebuly describes its software as a measurement layer for employee-facing and customer-facing AI tools. For internal agents, the company says the platform estimates hours saved, capacity freed and work that teams could not previously perform. For customer-facing assistants, Nebuly says it tracks revenue influence and surfaces churn-risk and upsell signals. The company also says the assumptions behind those calculations remain visible and adjustable, allowing finance and leadership teams to inspect how the figures were produced.

Nebuly said the platform connects to custom agents and assistants built on Claude, ChatGPT and Microsoft Copilot. Its models can run on premises or in a customer’s private cloud, which the company says allows enterprise data to be analyzed without sending it to external model APIs.

Nebuly said it has signed multiple six-figure enterprise contracts and named Oura, Iveco Group, Fastweb+Vodafone, CNH and Zeiss among its customers. Those commercial claims were not independently audited in the opened sources, and the available evidence does not establish quantified productivity or revenue gains realized by customers.