WORLDTECHTurin's Nebuly secures $21M Series A to track AI agents' financial returns
Nebuly, a Turin-based company, has raised $21m in a Series A round led by Planven, according to The Next Web. The funding is meant to widen a platform that measures the financial return from enterprise AI agents, meaning systems that carry out multi-step tasks rather than answering a single question.
Round size and backers
Nebuly announced on November 12, 2026 that it had closed a $21 million Series A led by Planven. Exor Ventures, Tenacity Capital, TGVG Capital and Fastweb+Vodafone, the last acting through Founders Factory, joined the round together with returning investors and angels. The AI and Digital Transition funds of CDP Venture Capital also took part.
Critique of usage-based metrics
According to the report, many organisations still gauge their AI rollout by how many people use the tools and how many prompts and replies they generate. Nebuly's founder, Signorato, labels this habit "tokenmaxxing", in which activity itself becomes the yardstick regardless of what it delivers to the business. He also contends that firms make hiring choices on the basis of productivity gains they assume AI will bring, without evidence that those gains have appeared.
The financial cost of such miscalculations is becoming harder to dismiss. Enterprise AI invoices have tripled even though the price of individual tokens has dropped steeply. The Financial Times reported that Uber used up its yearly AI budget only four months into 2026, and that an internal Amazon initiative ran 860% over its allocation for five months before the excess was noticed.
What the platform tracks
Nebuly's software looks at the work AI agents actually perform across a company, both in staff-facing tools and in assistants that talk to customers. It consolidates that information and connects AI activity with commercial outcomes. It further highlights which teams derive the greatest benefit and where targeted training could lift performance. For internal tools, it quantifies time saved, extra capacity generated and new duties staff can hand to AI. The product can additionally be deployed on a firm's own infrastructure or a private cloud.