Nebuly raises $21 million to prove AI’s financial worth
Francesco Signorato didn’t set out to sell spreadsheets. The CEO and co-founder of Nebuly built a platform that tracks the money enterprises spend on AI—and the money those AI tools actually earn back. Now, with a $21 million Series A round in hand, he’s racing to meet a demand that’s suddenly urgent: proving AI’s worth before the next budget review.
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30 SEC SUMMARY
- Nebuly, a Turin-based startup, has secured $21 million in Series A funding led by Planven to help enterprises track AI’s financial return.
- The round includes investors like Exor Ventures, Tenacity Capital, and CDP Venture Capital’s AI fund, reflecting demand for AI spending accountability.
- Enterprise AI costs have tripled despite lower token prices, forcing companies to justify investments.
- Nebuly’s platform measures time saved, revenue influenced, and efficiencies gained from AI tools used internally and with customers.
- The startup plans to expand its sales and development teams in the U.S. and Europe after closing the round.
TABLE OF CONTENTS
A $21 million bet on measurable AI value
Turin-based Nebuly has closed a $21 million Series A round led by Planven. Exor Ventures, Tenacity Capital, TGVG Capital, Fastweb+Vodafone, and CDP Venture Capital’s AI and Digital Transition funds also joined the round, according to The Next Web.
The money arrives as enterprises face a reckoning. AI spending has tripled, yet boards want to know exactly what they’re getting for it. Nebuly’s software steps into that gap, turning AI activity into dollars-and-cents returns.
How the platform turns AI into hard numbers
Nebuly’s software tracks every AI agent an enterprise deploys—whether employees use it internally or customers interact with it externally. For internal tools, the platform logs time saved, new capacity created, and tasks employees can now handle. For customer-facing assistants, it ties AI interactions to revenue and flags risks like churn or upsell opportunities.
Finance teams can tweak the assumptions behind the numbers, and the system plugs into AI models from Claude, ChatGPT, and Microsoft Copilot. It can run on a company’s own servers or a private cloud.
From startup to enterprise partner
Francesco Signorato, Julien Roux, and Diego Fiori founded Nebuly in 2022. The startup began by analyzing how users interacted with large language models but soon pivoted to measuring the business value those models deliver.
Today, its customer list includes Oura, Iveco Group, Fastweb+Vodafone, CNH, and Zeiss. Contracts often reach the six-figure mark. The fresh capital will fuel hiring in sales and go-to-market teams across the U.S. and Europe.
A market shift toward accountability
Nebuly is not alone. Ascerta, a rival in the AI ROI space, recently raised $18 million from Dell’s venture arm. The competition signals a broader shift: enterprises want hard financial proof, not just adoption metrics.
The push for accountability is reshaping even pricing models. Zendesk is reportedly testing pay-per-result pricing for its AI tools, a change that could ripple across the industry if it proves popular.
What this means
Lazyfounder analysis — our interpretation, not reported fact.
Boards and finance teams now have a concrete way to compare AI’s cost against its actual business impact—before signing the next budget check.
Key takeaways
- Nebuly’s $21 million round shows investors bet on tools that turn AI spending into measurable ROI, not just adoption metrics.
- With contracts in the six figures, the startup proves enterprises will pay for hard proof of AI’s value.
- The shift to outcome-based pricing—seen at Zendesk and others—could spread if platforms like Nebuly keep delivering clear ROI data.
Related on Lazyfounder
Sources
- The Next Web · 2026-11-12
Nebuly raises $21M Series A to measure the ROI of enterprise AI
This story is an original summary drafted with AI by Lazyfounder from the reporting listed above and checked by automated validation. Facts are attributed to their original publishers; sections marked as analysis are Lazyfounder's. Where a source is in another language, facts were machine-translated and quotations are reported, not reproduced. Read the original coverage via the links, and see our AI policy and corrections policy.
About the author
Editor, Lazyfounder
Tarun Mottlia edits LazyFounders, covering Indian startups, funding rounds, AI and product launches. Every story on the site is AI-assisted and checked against its cited sources before publication.
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