Utilidata Has Rebranded as Karman
The firm opened a new Ann Arbor headquarters and expanded its power management platform to data centers.
Updated on Sept. 19, 2026 in Data Centers

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Utilidata has officially rebranded as Karman and announced a $100 million total financing round. The company is shifting its focus toward mitigating energy constraints in AI data centers.
Why it matters
The transition addresses the rising power demands of artificial intelligence, which present significant energy challenges for operators. By embedding technology directly into power infrastructure, the firm aims to improve efficiency in data center operations.
The Karman platform increases AI tokens per watt by 50% or more by monitoring power conditions in real-time. The technology was developed in partnership with NVIDIA and embeds directly into existing power infrastructure.
The players
Karman
Formerly known as Utilidata, this technology company provides power management solutions for data centers and critical infrastructure.
NVIDIA
This global technology firm specializes in artificial intelligence computing and partnered with Karman on its power management platform.
Enovum
This company operates high-density data center facilities, including the location in Montreal where Karman deployed its platform.
Jeff Bladen
He recently joined the board of directors for the firm as it pivots to focus on AI energy solutions.
Dave Johnson
He is a member of the board of directors helping to oversee the strategic shift and rebranding of the company.
The details
Karman has established a 15,000-square-foot headquarters in Ann Arbor to support its growth and operations. The firm has already implemented its monitoring technology at an Enovum data center in Montreal.
Timeline
The firm announced its $100 million in total financing in May 2026.
This report was published on September 19, 2026.
The Tech Race
The firm aligns its strategy with the requirements of NVIDIA AI enterprise computing architecture to solve critical efficiency gaps in high-density facilities. This move shifts the focus from general grid management to the specialized energy demands of modern AI workloads.
For users and clients, the integration of this technology into data centers could lead to more stable AI service availability. By increasing the tokens produced per watt, operators can manage power constraints without compromising the performance of AI-powered applications.
The takeaway
The move highlights how energy efficiency has become a critical bottleneck for the scaling of artificial intelligence. Businesses investing in infrastructure monitoring can expect to see improved operational capacity as they navigate rising power costs.
Further reading
Learn more about the latest innovations in Data Centers infrastructure.
Source note: This article includes information reported by Mlive.
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