Nebuly Raises $21M Series A to Expand Enterprise AI Measurement – ​​Unite.AI

Nebuly announced on November 12, 2026 that it raised a $21 million Series A led by Planven to expand its platform for measuring the economic value of enterprise AI agents.

Exor Ventures, Tenacity Capital, TGVG Capital and Fastweb+Vodafone (via Founders Factory) participated alongside returning investors and angels. CDP Venture Capital SGR also supported the round through the Artificial Intelligence Fund and the Digital Transition Fund, with funding from the European Union’s NextGenerationEU programme. Nebuly, based in Turin and New York, plans to expand its go-to-market team in the US and Europe and further develop the platform.

Nebuly has reported numerous six-figure contracts with businesses in the telecommunications, automotive, industrial manufacturing, luxury, healthcare and technology sectors. Its named clients include Oura, Iveco Group, Fastweb+Vodafone, CNH and Zeiss.

How Nebuly measures the value of AI

The platform analyzes what agents do across internal employee tools and customer-facing assistants, consolidating the results into a single view. For employee-facing AI, it measures hours saved and capacity freed up, as well as new tasks that teams couldn’t previously undertake. It also distinguishes high-value work from routine tasks, compares results across teams, and identifies where targeted upskilling could improve returns.

For customer-facing assistants, Nebuly tracks AI-influenced revenue and detects signs of churn and upsell risk. The assumptions underlying the reported numbers remain visible and editable, allowing leadership and finance teams to examine the numbers rather than accept them on faith.

Nebuly connects to custom tools and assistants based on Claude, ChatGPT, and Microsoft Copilot. The company said its purpose-built models can run on-premises or in a customer’s private cloud, avoiding the need to send business data to external model APIs. The cross-provider design is aimed at companies that use agents from different vendors together with their own tools; no single provider can see the entire environment.

CEO and co-founder Francesco Signorato argued that measuring AI by counting users, suggestions and responses fuels “tokenmaxxing,” where usage itself becomes the goal, while hiring and staff counting decisions are still based on assumptions about the AI’s productivity rather than evidence. “None of this says whether an employee got back an hour of work or whether a customer got the response they needed,” he said.

Gartner survey shows measurement gap

A Gartner survey released on September 1, 2026 found that 85% of functional leaders planned to increase AI spending in 2026, after allocating an average of 12% of their functional budgets to AI in 2025. Only 22% of organizations had successfully scaled AI across multiple business units or adopted an AI-first approach, while approximately 11% were completely unaware of how much their function had spent on AI in 2025.

The survey surveyed 1,303 respondents from January to April 2026 at organizations with annual business revenue of at least $50 million in fiscal 2025. Gartner reported positive returns on 81% of AI initiatives among high-performing companies, which it defined as organizations that continuously monitor return on AI investment, treat AI as a value portfolio, regularly evaluate projects, and reallocate or discontinue initiatives with lower performance. Low-performing countries did not know the 29% rate of return on their initiatives.

The findings describe the commercial openness Nebuly is pursuing: AI budgets are increasing even though many organizations have not scaled the technology or lack basic visibility into spending. The company’s inspectable, cross-vendor measurement layer is designed to fill this gap. Its challenge is to turn agent activity into financial evidence reliable enough to guide decisions about which AI projects merit further investment.