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    Utilidata Secures $60 Million to Bring Edge AI to Energy Infrastructure

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    Utilidata Secures $60 Million to Bring Edge AI to Energy Infrastructure

    By running AI locally, utilities can unlock unused grid capacity, improve reliability, and cut carbon emissions all without major hardware overhauls

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    Nvidia-backed Utilidata, a pioneer in edge AI for energy infrastructure, has raised $60.3 million in Series C funding to scale its AI platform, Karman, across the power grid. The round was led by Renown Capital Partners, with participation from NVIDIA, Quanta Services, and existing investor Keyframe Capital. Citigroup acted as sole placement agent on the deal.

    The new investment comes at a critical moment for the energy sector. With global power demand surging and driven in part by the explosive growth of data centers grid operators are under mounting pressure to boost capacity, efficiency, and resilience. Utilidata’s answer is Karman, a distributed AI platform developed in partnership with NVIDIA over the last four years.

    As Josh Brumberger, CEO of Utilidata stated, "Electricity has gone from being abundant and predictable to scarce and increasingly unpredictable.”

    Edge AI refers to artificial intelligence that runs on local devices such as smart meters or grid infrastructure rather than in centralized data centers. This enables real-time decision-making with minimal latency, even in remote or bandwidth-limited environments. In the context of the power grid, edge AI allows utilities to analyze data and respond to conditions like outages, voltage fluctuations, or demand spikes right at the source.

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