Nebuly Secures $21M Series A to Tackle AI ROI Measurement for Enterprises

Italian startup Nebuly has successfully closed a $21 million Series A funding round, led by Planven, with participation from Exor Ventures, Tenacity Capital, TGVG Capital, Fastweb, Vodafone, and CDP Venture Capital's Digital Transition Fund. The funding will be used to expand Nebuly's go-to-market team across the United States and Europe, and to further develop its platform designed to help enterprises measure the business value of their AI agents. This development is crucial for cloud and DevOps practitioners because it directly tackles one of the most significant hurdles in enterprise AI adoption: demonstrating tangible business value. As organizations deploy an increasingly complex mix of AI models and applications—from internal tools to customer-facing assistants—they struggle to quantify the impact on their bottom line. Nebuly's platform aims to provide clarity by analyzing AI agent usage across an organization, offering insights into efficiency gains, time saved, increased capacity, and AI-influenced revenue. This allows practitioners to move beyond mere adoption metrics (like number of users or prompts) and present a clear business case for their AI initiatives to leadership. The funding for Nebuly fits squarely within the broader trend of enterprises maturing their AI strategies. Initially, the focus was on experimentation and deployment. Now, as AI spending escalates (with some companies reportedly exhausting their annual AI budgets in months), there's an urgent need for governance, cost optimization, and performance measurement. This shift is evidenced by Gartner's findings that while 85% of businesses plan to increase AI spending, only 22% have successfully scaled AI across multiple business units. This gap highlights the demand for solutions that can bridge the chasm between AI investment and measurable business outcomes, making AI less of a black box and more of a strategic asset. In practice, this means practitioners should look for ways to integrate AI value measurement into their existing MLOps and FinOps workflows. Tools like Nebuly's offer a unified control plane to assess agent behavior, track operational efficiency for internal AI, and measure revenue impact for customer-facing AI. This enables data-driven decision-making for AI investments, helping teams identify which AI initiatives are truly delivering ROI and where further optimization or training is needed. Practitioners should evaluate such platforms for their ability to integrate with diverse AI ecosystems (e.g., custom models, OpenAI, Claude, Microsoft Copilot) and provide actionable insights that resonate with both technical and business stakeholders. The ability to demonstrate clear ROI will be paramount for securing continued funding and executive buy-in for AI projects.