 (formerly known as Utilidata), a leader in embedded AI for power infrastructure, enables 

, a leading European AI cloud provider, to unlock 60% more AI compute capacity within the same provisioned power budget through its power orchestration platform. The successful deployment of Karman’s technology has led to the two companies extending their partnership for broader rollout across NexGen Cloud’s European operations.

In this deployment, Karman enabled 16 NVIDIA B300 servers to operate within the power budget provisioned for 10 servers, delivering 60% more nameplate compute capacity and token throughput while maintaining inference quality and reliability. Karman maintained this performance under a variety of workloads, including scenarios with sustained high-power workloads, demonstrating its ability to reliably bring more compute capacity under a wide range of conditions.

 plans to unlock more AI compute from existing power capacity and strengthen infrastructure resilience by introducing real-time, AI-driven power orchestration at the rack level. This deployment took place in a commercial data center cluster managed by NexGen Cloud in Montreal.

“The fastest, low-cost way to scale AI today is by getting more compute out of the infrastructure already built," said Josh Brumberger, Karman CEO. "Data centers hold power in reserve for worst-case scenarios that rarely happen. Karman turns that stranded capacity into usable compute. We're excited to bring this value to NexGen Cloud and their customers.”

The Montreal deployment tested Karman across a range of power profiles, from steady, moderate loads (LLM conversations) to sustained high-power loads (LLM summarization). Across these scenarios, Karman delivered:

60% more nameplate compute capacity with 16 NVIDIA B300 servers running within the power budget originally provisioned for 10

60% more token throughput than the 10 server baseline within the same power budget

No measurable reduction in inference quality, such as token latency, during sustained conversational workloads

The results demonstrate a scalable solution for addressing the biggest constraint facing the AI and energy sectors today. As demand for AI compute continues to soar, data center operators face a mismatch between available AI infrastructure and the power capacity needed to run it. Adding new electrical capacity can require significant time and investment, while Karman is designed to address that constraint today by unlocking trapped capacity.

“As demand for AI compute continues to accelerate, efficiency is becoming just as important as capacity. The results we've achieved with Karman demonstrate that we can deliver significantly more compute from our existing infrastructure without requiring additional provisioned power,” said Chris Starkey, CEO of NexGen Cloud. “This creates a compelling opportunity to improve infrastructure utilization, accelerate deployment and ultimately deliver greater value to our customers. We're excited to build on these results as we expand our partnership across Europe.”

The Karman platform, powered by a custom NVIDIA module, provides the visibility, controls, and safety mechanisms data center operators need to fully utilize their provisioned power capacity. Karman's software-defined controls respond within 20 milliseconds to continuously optimize power, and act within 2 milliseconds to limit power when demand threatens to exceed the budget.

To learn more about Karman and its power orchestration platform, visit 

Karman is an AI company providing dynamic power orchestration for AI data centers, enabling operators to better utilize the power already available to them. By embedding real-time visibility and millisecond control directly into power distribution equipment, Karman increases tokens per watt by at least 50% by unlocking stranded power. The Karman platform is built on a custom NVIDIA Jetson Orin Nano, and was previously embedded into smart meters to bring real-time visibility and power-flow control to the electric grid.

NexGen Cloud is the foremost provider of sovereign-by-design, full-stack AI cloud environments for the global market. Purpose-built AI infrastructure for the demands of modern AI workloads, NexGen Cloud's solutions include Hyperstack Secure Private Cloud for single-tenant enterprise deployments, and Hyperstack On-Demand, a full stack AI cloud platform offering GPUaaS. As an NVIDIA Cloud Partner, the company hosts its managed infrastructure in Tier 3 data centres across Europe and North America.

Karman Turns Stranded Power Into 60% More Compute for AI Data Center Provider NexGen Cloud 

, a leader in embedded AI for power infrastructure, announced a new partnership with 

 a global leader in physical infrastructure and power management for data centers. Legrand will integrate Karman into its power distribution product lines, including its intelligent AC rack PDUs and DC power shelves designed for high-density and AI data centers. With Karman, Legrand’s data center customers can power more compute and generate 50% or more AI tokens using the same provisioned power.

The partnership addresses the growing demands of data centers with GPU-intensive operations that now require more power. A lack of power visibility and control leaves a significant amount of contracted power sitting idle. With Legrand, a market leader in intelligent power distribution products, and Karman’s expertise in power control, the two are uniquely positioned to deliver a solution built to scale with the pace of AI.

"By partnering with Karman, Legrand continues to demonstrate its technological leadership and innovation by delivering additional value to data center operators,” said Swen Anderson, CTO of Legrand Data Power and Control Division. “We’re providing data centers with the tools to unlock stranded power and deliver measurable competitive advantages and increased revenue.”

The Karman platform is built on a custom version of the NVIDIA Jetson Orin Nano and can be easily embedded in energy infrastructure. Karman’s microsecond power visibility and predictive controls allow data center operators to see real-time power budgets and schedule more tasks within the same provisioned power. By capturing power usage at microsecond resolution, Karman enables highly accurate profiling of power usage and predictions tied to instantaneous workload demands.

“Power continues to be the primary limiting factor to data center capacity expansion. Yet, a large portion of provisioned power in data centers goes untapped,” said Josh Brumberger, CEO of Karman. “This partnership with Legrand changes that. By embedding Karman into Legrand’s power distribution products, data center operators can now utilize that power to expand capacity immediately, while reducing the price per GPU hour.”

Legrand’s data center category leading brands, including Raritan, Server Technology, and ZPE Systems, will be the first to feature the Karman platform. The companies anticipate the first Karman enabled Legrand products will be available in mid 2027.

Legrand is the global specialist in electrical and digital building infrastructures. Its comprehensive offering of solutions for residential, commercial, and datacenter markets makes it a benchmark for customers worldwide. The Group harnesses technological and societal trends with lasting impacts on buildings with the purpose of improving life by transforming the spaces where people live, work and meet with electrical, digital infrastructures and connected solutions that are simple, innovative and sustainable. Drawing on an approach that involves all teams and stakeholders, Legrand is pursuing a strategy of profitable and responsible growth driven by acquisitions and innovation, with a steady flow of new offerings that include products with enhanced value in use. Legrand reported sales of €9.5 billion in 2025. The company is listed on Euronext Paris and is a component stock of the CAC 40, CAC 40 ESG and CAC Transition Climat indexes (code ISIN FR0010307819). 

Karman is a company providing dynamic power orchestration for AI data centers, enabling operators to better utilize the power already available to them. By embedding real-time visibility and control directly into power distribution equipment, Karman unlocks stranded capacity. The Karman platform is built on a custom NVIDIA Jetson Orin Nano, and was previously embedded into smart meters to bring real-time visibility and power-flow control to the electric grid. 

Karman Partners with Legrand to Increase Data Center Compute Capacity 

Aolani, a Singapore-founded neocloud powering AI growth, today announced a partnership with Karman (formerly known as Utilidata) to fully utilize available power of Aolani’s AI infrastructure through advanced power orchestration capabilities.

As global demand for AI compute intensifies, intelligent energy management has become crucial in maximising AI infrastructure performance and scalability. Being at the forefront of providing AI compute access in Asia, Aolani is continuously investing in technologies that optimize the use of available power resources to drive greater efficiency and value from their AI deployments.

Through this partnership, Aolani will integrate the Karman platform, a dynamic power orchestration platform that combines high-resolution metrology with local processing and AI, into its infrastructure stack. Karman is built on a custom 

 and designed to measure and dynamically allocate available power capacity across high-density GPU workloads to actively manage rack-level energy consumption in real time. In doing so, the platform increases infrastructure utilisation within the facility’s existing power envelope and lowers the cost per unit of compute.

The joint proof of concept project will be deployed on the 

. The Karman platform has already unlocked 33% more compute capacity from existing power infrastructure at its first commercial deployment in North America, potentially translating into a $20M increase in revenue per 1 MW.

"We are excited to be partnering with Karman to leverage their innovative technology and deliver greater value from existing energy resources. For Aolani, this represents an opportunity to further improve the economics of AI workloads and reflects our commitment to continuously enhancing our AI infrastructure platform. By optimising how power is allocated and used, we can help customers scale their AI ambitions and strengthen our ability to deliver the compute capacity quickly without waiting on the grid,” said 

Nicholas Chia, Chief Executive Officer at Aolani

“Access to power is one of the defining factors in supporting AI adoption and the growth of increasingly demanding AI workloads. As we continue to advance alongside the latest generation of GPU systems, we look forward to working with Aolani to demonstrate how our Karman platform can fully utilize the power already available to data center operators and cloud providers,” 

Karman is an AI company providing dynamic power orchestration for AI data centers, enabling operators to better utilize the power already available to them. By embedding real-time visibility and millisecond control directly into power distribution equipment, Karman increases tokens per watt by 50% by unlocking stranded power. The Karman platform is built on a custom NVIDIA Jetson Orin Nano, and was previously embedded into smart meters to bring real-time visibility and power-flow control to the electric grid.


Where AI gets built in Asia. Headquartered in Singapore and founded in 2023, Aolani is backed by compliant and purpose-built infrastructure to deliver the performance capabilities for next-generation AI. Aolani’s AI factories enable organisations to build with confidence, scale ambitiously, and move at hyper-speed in the world’s fastest-growing AI market.

Aolani, Karman partner to unlock 50% more AI compute capacity with same provisioned power

Utilidata, a leader in embedded AI for power infrastructure, announced today its rebranding to 

, adopting the name of its power orchestration platform as the identity for the company as a whole. The new name reflects how the company has evolved to meet the needs of AI data centers.

The Karman platform, powered by a custom NVIDIA module, was first launched to unlock the stranded value of distributed energy resources and enhance grid resiliency. Over the past year, the same technology has found its most urgent application inside data centers where power availability has become the binding constraint on growth and concern for power providers.

“Our mission from day one has been to bring more intelligence and control to critical power infrastructure, and right now where our work is needed the most is in data centers,” said Josh Brumberger, CEO of Karman. “AI demand is easily the most pressing energy challenge. This name change reflects how our technology has adapted to meet that need.”

The Karman platform combines high-resolution metrology with local processing and AI and increases AI tokens per watt by 50% or more for AI data centers. Karman is embedded directly into power infrastructure to monitor power conditions in real-time, delivering unprecedented levels of visibility and control to unlock stranded power capacity and allows operators to fully utilize the power available to them. Karman’s 

 with NexGen Cloud is currently operating in an Enovum data center in Montreal to unlock stranded capacity.

“Karman is built to decode the most complex energy challenges of our time,” said Gary Hicok, Karman’s Executive Chair of the Board. “We’re building the intelligence layer that's currently missing in power infrastructure, whether that be the electric grid or data centers. The name Karman reflects both where we’re at today and where we may go next.”

Along with the rebrand, Karman has expanded its Board of Directors with the addition of Jeff Bladen and Dave Johnson. Bladen, who is the Head of Energy and Policy for Verrus, oversees energy strategy for grid-aware, flexible data center facilities. Johnson, the CEO of VoltServer, leads the development of digital electricity solutions to solve the world’s power distribution demands. Together, their expertise and decades of experience strengthen Karman’s ability to bring greater intelligence and control to the power infrastructure supporting AI.

Learn more about Karman and its power orchestration platform at 

Utilidata Rebrands as Karman as AI Data Centers Become the Frontline of the Power Grid 

Utilidata, a leader in embedded AI for power infrastructure, announced today that it has secured an additional $40 million in Series C funding. The round was led by existing investor Renown Capital Partners with participation from Keyframe Capital, completing the Series C at $100 million. The extension marks the second and final close of Utilidata’s Series C financing, following the company’s initial 

 led by Renown Capital in April 2025, with participation from Keyframe Capital, Quanta Services, and NVIDIA.

The funding will strengthen Utilidata's position to scale commercialization with hyperscalers and the data center market. The company's power orchestration platform, Karman, was developed in partnership with NVIDIA, and unlocks stranded capacity with real-time visibility and control of power utilization. Built on a custom NVIDIA Jetson Orin Nano module, Karman is designed to be embedded at the rack level of data centers to manage rack power in real time, providing operators with high-speed visibility of power utilization.

“The AI infrastructure buildout is one of the defining themes of this decade, but power is a fundamental limitation,” said James McIntyre, Co-Founder & Managing Partner, Renown Capital Partners. “Karman directly solves that problem by getting more out of the power that is available. We’re deepening our commitment to Utilidata because the market need is urgent, the technology is ready, and we are confident that the team has what it takes to deliver.”

Continued support from investors reflects growing recognition that AI growth depends on solving fundamental infrastructure problems. Power is the binding constraint. Interconnection queues stretch years and the increasing density of GPU compute creates power quality challenges that can push instability back onto the grid. The industry needs solutions that intelligently orchestrate power to maximize the performance of existing infrastructure, unlock stranded capacity, and enable denser deployments without causing issues on the grid. Karman smooths power fluctuations, reducing negative grid impacts that pose regulatory risks to data center interconnection and operations outlined in the recent 

 from North American Electric Reliability Corporation (NERC).

The Series C extension comes ahead of Utilidata’s 

first commercial deployment with NexGen Cloud

, which will go live in Montreal next month and target up to 50% additional usable capacity.

“We’ve believed in this team for a long time, and this round reflects our conviction that Karman is the breakthrough technology at exactly the right moment,” said John Rapaport, CIO, Keyframe Capital. “AI data centers can’t afford to wait for new power capacity. They need to maximize what they have now and that is exactly what Karman delivers.”

To support Utilidata’s next phase of growth, the company is expanding its executive leadership team with the addition of Kit Chee as Chief Commercial Officer. Kit joins the team to lead Utilidata’s commercial strategy, having previously scaled Intel’s cloud sales from $9B to $23B, secured several hyperscalers at Ampere, and helped shape the growth strategy for an ASEAN neocloud.

Along with the addition of Kit, Utilidata is increasing their workforce by 25% this year, many of which are based at their 

in Ann Arbor, Michigan, a new state-of-the-art 15,000-square-foot innovation lab with funding support from Governor Whitmer.

"Power availability is the defining constraint for data centers right now," said Josh Brumberger, CEO of Utilidata. "Karman squeezes every watt out of the power you already have, and makes every new megawatt you bring online work smarter. We're commercializing this at exactly the right moment, and we're grateful for the investors who've backed us to do it."

Utilidata Raises $40 Million Extension, Completing $100M Series C to Maximize AI Compute Capacity 

, a leader in embedded AI for power infrastructure, and 

, Europe’s leading AI cloud provider, today announced the deployment of the Karman AI power control platform across NexGen Cloud’s data centers.

The collaboration is designed to increase available AI compute capacity within existing grid constraints, targeting 50% additional usable capacity through intelligent GPU power orchestration and utilization of stranded energy. The initiative also strengthens infrastructure resilience by introducing real-time, AI-driven power optimisation at the rack level. Karman runs on a custom NVIDIA module and acts as the intelligence layer for next-generation power infrastructure, dynamically balancing performance, efficiency, and reliability across AI workloads.

The initial deployment is a showcase data center facility in Montreal before a broader rollout across NexGen Cloud’s European operations. For its enterprise customers, the partnership will enable NexGen Cloud’s full stack AI cloud platform, Hyperstack, to deliver more AI capacity, at a lower price, and with enhanced power-related services for its customers.

The partnership enables Hyperstack to drive superior energy performance through Karman as part of its ambitious secure private cloud expansion — including planned AI Factory deployments across North America and the Nordics, with capacity reaching hundreds of megawatts — and will extend these benefits to users of the Hyperstack on-demand compute service for AI, machine learning, and visualization applications.

“Power is the single biggest constraint for AI growth today. Billions of dollars of existing capacity are underutilized in data centers worldwide,” said Josh Brumberger, Utilidata CEO. “Karman unlocks that trapped capacity immediately while ensuring new data centers are optimized from day one. We’re excited to partner with NexGen Cloud, a neocloud that understands the urgency of maximizing today’s infrastructure and the enormous opportunity in building tomorrow’s most effectively.”

NexGen Cloud operates across Europe and North America, with infrastructure powered by 100% renewable energy across its European and Canadian data centers. NexGen Cloud, its parent company, is an NVIDIA Cloud Partner (NCP), positioning it at the forefront of European AI infrastructure. With Karman's embedded intelligence, NexGen Cloud will unlock massive capacity gains without waiting for grid upgrades or new electrical infrastructure.

"We now live in a world where 100MW+ projects are becoming commonplace. For infrastructure providers like NexGen Cloud servicing such projects, the next critical factor is energy management—specifically, maximizing the capacity already on-site. Karman gives us a significant commercial advantage by unlocking that trapped capacity; proving this level of optimization is a benefit we can then carry over directly to our end customers," said Chris Starkey, CEO of NexGen Cloud.

Utilidata’s custom module, co-developed with NVIDIA, provides the visibility, controls and safety mechanisms necessary to allow data center operators to fully utilize provisioned power capacity. By sampling at over 1 million times per second and responding with sub 20 millisecond latency, Karman sees and reacts as fast as the servers themselves, providing data-driven, software-defined safety mechanisms to deploy dramatically more GPUs within existing power infrastructure.

As data centers scale to meet AI demand, Karman complements NVIDIA's server-level optimizations with a parallel intelligence layer at the rack, row and building level. While GPUs optimize compute workloads, Karman optimizes electrical delivery, creating redundant, distributed visibility and control across both layers.

​​AI Data Center to Receive 50% Capacity Boost with AI Power Orchestration

, a pioneer in embedded AI for power infrastructure backed by NVIDIA, announced the opening of a new innovation lab that will also serve as its headquarters in Ann Arbor, Michigan, a region known as an epicenter for ingenuity and technology advancement. The new space will serve as the company’s primary hub for testing, product development, and collaboration with partners across the technology, AI, and energy sectors.

“Michigan is on the move and open for business, competing for and winning big projects in next-generation industries from cars to AI,” said 

. “Today’s announcement will create 25 new good-paying jobs and help cement Michigan as the best place for cutting-edge research and development that moves our nation forward. Let’s keep working together to show the world that Michigan is the best place to build the future.”

The move is supported by a $250,000 grant through the Michigan Business Development Program (MBDP), administered by the Michigan Economic Development Corporation (MEDC). The lab currently employs 18 staff members on site, accounting for 25% of Utilidata’s workforce, and is expected to create 25 new full-time jobs and strengthen partnerships with key local collaborators

The Ann Arbor headquarters includes dedicated distributed energy resources (DER) and data center labs that enable rapid prototyping and testing and will support the scaling of its autonomous power management platform, 

, across critical energy infrastructure. Utilidata’s team of engineers will use the expanded space to build hardware components, test new software and AI algorithms, with their main focus of testing Karman in data center servers. The data center lab currently houses NVIDIA B200 servers running AI workloads with Karman, allowing the team to measure system behavior under realistic compute conditions.

The DER lab will be configured to replicate modern electrified homes and businesses, with electric meters connected to battery storage systems, electric vehicles and rooftop solar. In this lab, the team will run demonstrations to test how Karman interacts with distributed energy devices, further refining how the platform can support grid reliability and enable utilities to better manage demands from increasing electrification.

“The focus around AI often assumes that growth requires more power. In reality, data centers already have significant unused capacity due to limitations in power infrastructure,” said 

. “Our focus is on helping operators safely and responsibly use the power they already have with high-resolution, real-time visibility and control. Our new headquarters was purpose-built to rapidly test and validate these capabilities, and to tap into Ann Arbor’s deep engineering and technology talent and accelerate our scale.”

Utilidata has maintained a presence in Michigan for several years, starting with its original 2,500-square foot innovation lab located in the Northern Brewery building, and working alongside local research institutions and technology partners to advance energy innovation. These efforts include projects with the University of Michigan’s Transportation Institute, Brooks Utility Partners, and Treetown Tech.In partnership with NVIDIA, Utilidata has built one of the smallest AI computing modules to easily embed in compact electrical devices to provide unparalleled visibility and power-flow control. The Ann Arbor headquarters will serve as a testing ground to demonstrate AI capabilities to support evolving power demands.

Utilidata’s Karman platform provides autonomous power management for AI data centers, enabling operators to better utilize the power already available to them. By embedding real-time visibility and control directly into power distribution equipment, Karman unlocks stranded capacity. The Karman platform is built on a custom NVIDIA Jetson Orin Nano, and has been embedded into smart meters to bring real-time visibility and power-flow control to the electric grid.

Utilidata Opens Ann Arbor Headquarters and Innovation Lab

, an NVIDIA-backed edge AI company, announced today the appointment of Gary Hicok as Executive Chair of the board of directors. Hicok, who recently served as an 

 to Utilidata, will transition into his new role on the board to lead alongside the senior leadership team at Utilidata. He will help scale the company’s distributed AI platform and custom NVIDIA module, Karman, for use in energy systems and critical infrastructure, including data centers.

“The rapid growth of AI factories creates a unique opportunity to unlock the value of edge computing, and there is no greater need than in data centers,” 

said Gary Hicok, Utilidata’s Executive Chair of the Board

. “As experts in power flow with a cutting-edge AI platform built on a custom, ultra-compact NVIDIA module, Utilidata is uniquely positioned to unlock up to 50% more compute capacity using existing data center infrastructure. During my time at NVIDIA, I often spearheaded expansion into new markets, and I’m excited to help Utilidata do the same as we tackle some of the most urgent energy challenges.”

As a former executive at NVIDIA for more than 25 years, Hicok has pioneered new technology and growth in edge computing. Hicok was the senior vice president of Automotive and Systems at NVIDIA, where he oversaw the NVIDIA DRIVE platforms used to develop self-driving vehicles. Before that, he served as senior vice president of NVIDIA's core logic business unit and the mobile business unit. His extensive experience will help Utilidata expand into new sectors that can benefit from edge AI, including AI factories.

“Gary Hicok has been an invaluable advisor, and we are thrilled to have him join our team as the Executive Chair of the Board,” 

 “Leveraging Gary’s experience and leadership, we’re excited to expand the impact of our Karman platform – especially in AI factories, where sub-millisecond power flow visibility, control, and guardrails paired with local AI will unlock significant power capacity.

Utilidata's Karman platform is built on a custom version of the NVIDIA Jetson Orin Nano and can be easily embedded into infrastructure devices to deliver unparalleled visibility and control of power flow. Hubbell Incorporated is the first electric hardware company to 

, creating the industry’s first AI smart meter. Like the electric grid, overprovisioning and lack of visibility and control over inefficient power use create major challenges for data centers. Karman is uniquely positioned to alleviate energy constraints and unlock significant value at the edge in both the grid and data centers.

Utilidata has built one of the smallest edge computing modules, making it easy to embed AI into critical infrastructure devices. With over a decade of experience using AI to optimize power flow on the electric distribution grid, the company’s edge AI platform – Karman, powered by their custom NVIDIA module – has already been embedded into smart meters to bring AI to the grid.

Gary Hicok Joins Utilidata as Executive Chair of the Board

A demonstration project achieved a 27% peak reduction and 12.5% bill savings using distributed AI

 announced the successful completion of a 

 Incubatenergy® Labs (IEL) and Southern California Edison (SCE). The project showed the capabilities of Utilidata’s Karman AI platform in delivering real-time, autonomous management of distributed energy resources (DERs) from the electric meter. Utilidata’s technology proved that local dynamic DER management is possible by enabling real-time operational signals to DERs – overriding static dispatch schedules. This allows DERs to actively respond to real-time system needs rather than pre-scheduled events.

Using wireless communication and on-device AI, Karman calculated optimal DER dispatch and sent control signals directly to DERs – while keeping data local at the source (the meter). This approach will enhance resiliency, reduce data transmission costs, maintain customer privacy, and increase customer benefits. The demonstration project resulted in a 12.5% reduction in electricity cost for a simulated home and a 27% reduction in peak demand.

Utilidata was selected by SCE to demonstrate the Karman platform for load forecasting, solar disaggregation and forecasting, local DER optimization calculations and DER commands. The study was performed using EPRI’s Simulation Platform for Integration of DER (SPIDER) software which generated realistic net load data. “Delivering scalable, real-world solutions for the future grid, such as distributed energy resources, requires deep collaboration between utilities and technology innovators, and EPRI’s Incubatenergy Labs facilitates these partnerships,” said

 Dan Killoren, Head of the Global Innovation Hub for EPRI

. “This project demonstrates that AI could be used to enhance grid operations.”

In addition to accurately identifying multiple DERs in real-time, during the simulation, the Karman platform demonstrated the following advanced capabilities:

With real-time insight into local conditions, Karman enabled accurate forecasting of site load and solar output. In the field, Karman can allow for more dynamic rate schedules. 

Generating and wirelessly sending operational signals to DERs: 

Unlike traditional systems that rely on centralized, static dispatch, Karman autonomously created and sent operational signals to DERs – curtailing solar generation and commanding batteries to charge or discharge – all without sending data to the cloud. This allows DERs to actively respond to real-time system needs, rather than pre-scheduled events.

Achieve peak reduction and cost savings for customers:

 By aligning DER control with time-of-use rates and peak pricing periods, Karman reduced peak load and lowered energy costs for the end user – demonstrating how AI at the grid edge benefits both utilities and consumers.

“This project is the first to show how distributed AI embedded in local grid devices can forecast, manage, and optimize DERs in real time,” said

 Jess Melanson, President & Chief Operating Officer at Utilidata

. ”To realize the full potential of DERs, utilities need the ability to rapidly and dynamically respond to system needs using local computing power.”

Current DERMS and virtual power plant (VPP) systems often rely on pre-determined schedules and lack awareness of local grid constraints. Utilidata’s Karman platform changes that paradigm by embedding AI directly into grid edge devices, creating a responsive, intelligent layer of local control. It enables DERs to act as dynamic participants in the grid – not passive assets awaiting pre-scheduled events.

SCE has become a leader in accelerating the energy transition by pursuing innovative technologies within grid edge computing to address growing energy demand and grid complexities. SCE's recent 

 aims to bring more AI-based solutions to the grid, and its leadership in the industry consortium, the 

Grid Edge Interoperability & Security Alliance (GEISA)

 project, has established important industry collaboration to set specifications for deploying grid edge solutions in the utility industry.

Built on a custom NVIDIA module designed specifically for grid operations, Karman’s distributed AI platform delivers secure over-the-air updates and an open architecture for third-party applications. DERMS and VPP providers can build applications directly on the Karman platform, expanding the ecosystem of intelligent DER management tools.

Founded in 1972, EPRI is the world's preeminent independent, non-profit energy research and development organization, with offices around the world. EPRI's trusted experts collaborate with more than 450 companies in 45 countries, driving innovation to ensure the public has clean, safe, reliable, affordable, and equitable access to electricity across the globe. Together…shaping the future of energy.®

Utilidata is an AI-powered technology company providing utilities with real-time, actionable insights to operate a dynamic and flexible grid. The company’s distributed AI platform, Karman, analyzes large volumes of electricity data in real-time leveraging a combination of on-chip and cloud based software. Powered by a custom NVIDIA module purpose-built for the grid, Karman provides industry-leading computational power to grid devices–starting with meters–enabling faster, smarter decision-making.

Utilidata’s AI Platform Demonstrates Breakthrough in Real-Time DER Management 

Utilidata, a leader in edge AI technology, announced today that it has secured $60.3 million in Series C funding. The round was led by Renown Capital Partners–an investment firm focused on growth-stage technology companies helping to secure an efficient, affordable, and reliable energy system–with participation from Quanta, NVIDIA, and existing investor Keyframe Capital. Citigroup acted as sole placement agent to Utilidata on the transaction. This funding will enable Utilidata to rapidly scale Karman, its distributed AI platform developed in collaboration with NVIDIA over the last four years. Built on a custom NVIDIA module based on the NVIDIA Jetson Orin Nano edge AI platform, Karman can be embedded in any device connected to the energy system.

“With this round of financing, Utilidata is positioned to deliver a major breakthrough in how the world manages power across the entire energy ecosystem,” said

 James McIntyre, Co-Founder, CIO & Managing Partner at Renown Capital.

 “By bringing artificial intelligence to the edge of the grid, Utilidata’s Karman platform will help deliver unprecedented efficiency, resilience, and security to energy infrastructure across the world.”

Rapid growth in data center power demand alone is creating new constraints for grid operators and hyperscalers. By 2030, it is estimated that data center power demand will 

. This growth combined with the global clean energy transition is creating increased complexity on the grid, requiring new and advanced solutions, like edge AI. By enabling high power compute and AI capabilities to be embedded directly into grid infrastructure and data centers, Karman unlocks grid capacity, increases reliability, and reduces carbon emissions.

Utilidata’s Karman platform is now available for purchase directly from Advantech, the global leader in IoT intelligent systems and embedded platform. This will make it easy for any hardware partners to embed Karman into their equipment. 

 is already working with Utilidata to embed Karman into smart meters for electric utilities.

Utilidata’s strategic partnerships are designed to support utilities through every phase of implementing edge AI at scale. The company announced last year a

 first-of-its-kind collaboration with Deloitte

 to support clients in navigating the modern power grid and has now partnered with 

 to support the deployment of AI-enabled infrastructure at scale.

“Quanta’s expertise in electric infrastructure deployment positions us to help Utilidata scale AI across the grid,” said 

Andrew Schwaitzberg, Senior Vice President of Corporate Development at Quanta Services.

 “We look forward to showcasing the power of edge AI at the Quanta Advanced Training Center, and working with our customers and partners to modernize infrastructure. By enabling AI onto the physical grid, we can continue to support infrastructure that is more reliable and resilient as our customers’ needs grow.”

These investments, which will help scale Karman, come as several megatrends converge, including the rise of data centers and growing power demand. Quanta Services brings deep expertise in deploying power grid infrastructure and will play a critical role in ensuring that grid modernization keeps pace with the growing demands. NVIDIA’s AI innovations will help advance the transformative potential of Karman at the grid edge.

"Electricity has gone from being abundant and predictable to scarce and increasingly unpredictable,” said 

 “That paradigm shift requires fundamentally new technology and deeper industry collaboration. We’re bringing together a powerful coalition of partners who are committed to scaling AI across the grid to build a modern and dynamic energy system.”

“By embedding AI and accelerated computing at the grid’s edge, Utilidata is unlocking critical insights and enabling utilities and industries to make smarter, more informed decisions,” said 

 “These new capabilities, which don’t exist today, will allow the energy industry to do more with existing infrastructure – tapping into valuable capacity on the grid at a time when load is growing rapidly for the first time in decades. 

Utilidata is bringing edge AI to energy infrastructure, starting with smart meters. The company’s distributed AI platform, Karman, is built on a custom NVIDIA module that makes it easy to embed AI capabilities into any grid-connected device.

Utilidata Raises $60 Million to Scale Distributed AI Across Energy Infrastructure

The U.S. Department of Energy today selected Consumers Energy to receive a nearly $20 million financial assistance award to deploy new technology and provide real-time visibility into the grid and help integrate electric vehicles into Michigan's electric grid. The commitment will be matched by $20 million from Consumers Energy as it powers Michigan's EV transformation.

Consumers Energy will use the nearly $40 million to add artificial intelligence-powered modules to 18,000 electric meters that are used by Michigan EV owners, providing real-time data analytics and predictions to better understand the impact these vehicles have on the electric grid.

"Consumers Energy is building a stronger grid and a smarter one that will seamlessly power the next generation of clean vehicles," said Lauren Snyder, Consumers Energy's vice president of customer experience. "This allows us to quickly put the latest in technology to work, as we accommodate growing numbers of EVs parked in driveways across our state."

The new federal funding comes through the U.S. Department of Energy's 

Grid Resilience and Innovation Partnerships (GRIP) Program

, which supports the modernization of the nation's electric grid.

Consumers Energy is partnering with AI technology company 

 to deploy custom NVIDIA modules, bringing cutting edge AI capabilities to the electric grid. Utilidata manufactures in Michigan at their innovation lab in Ann Arbor and in collaboration with Brooks Utility Products in Novi. 

The effort will place over half of the devices in economically disadvantaged communities, enabling Consumers Energy to better understand EV adoption and customize customer programs to meet those communities' needs.

Consumers Energy also is partnering with General Motors, the University of Michigan Transportation Research Institute, the Electric Power Research Institute and others to deploy AI-enabled grid-edge analytics.

"Utilidata is proud to expand our presence in Michigan by partnering with industry leader Consumers Energy," said Utilidata President and Chief Operating Officer Jess Melanson. "Utilidata's distributed AI technology will equip Consumers Energy with the tools needed to integrate more distributed energy resources and ensure the electric grid is efficient and reliable for their customers."

Consumers Energy is making EV ownership more affordable and convenient wherever people drive their vehicles in Michigan. Electric vehicles will be powered by an electric grid that is moving fast to become carbon neutral.

Consumers Energy is Michigan's largest energy provider, providing natural gas and/or electricity to 6.8 million of the state's 10 million residents in all 68 Lower Peninsula counties. Consumers Energy's Clean Energy Plan calls for eliminating coal as an energy source in 2025, achieving net-zero carbon emissions and meeting 90% of customers' energy needs through clean sources, including wind and solar.

Consumers Energy Selected by U.S. Department of Energy for Nearly $20 Million to Add Real-Time Visibility to Grid

Deloitte today announced a first-of-its-kind collaboration with Utilidata, aimed at transforming the utility industry by leveraging AI and data capabilities for intelligent power grid solutions. By combining Deloitte's deep data science and energy industry experience and incorporating NVIDIA's accelerated computing and AI software platform, as well as the Utilidata Karman platform, the new initiative will support clients as they navigate the modern power grid, enhancing the use of renewable energy sources with real-time, actionable insights powered by AI and low-latency edge computing.


"Optimizing energy systems is imperative for intelligent grid infrastructure — the balancing act is between reliability, resilience and sustainability," said Khalid Behairy, AI practice leader for power, utilities and renewables and managing director, Deloitte Consulting LLP. "Through our new collaboration with Utilidata and NVIDIA, we can bring our industry advantage, redefine energy management and help create a more digitized, decentralized, and sustainable energy ecosystem."


As the U.S. power grid modernizes to adapt to the decentralization of energy generation and the dynamic patterns of consumption driven by electric vehicles (EVs) and renewable energy sources, traditional methods of grid operation no longer provide the dependability required for this critical infrastructure.


Smart grid implementation can create more flexible and efficient energy ecosystems through meter-to-transformer mapping, real-time hosting capacity, and distributed energy resource (DER) management. 

Deloitte's recent distributed energy resources report

 shows residential DER capacity could grow to 1,500 GW over the next decade and surpass a doubled peak demand.

Deloitte's collaboration with Utilidata and NVIDIA will help address this challenge by deploying distributed AI-driven analytics at the grid edge, where power is increasingly generated and stored. This custom module and platform — powered by the NVIDIA Jetson edge AI platform and embedded in electricity meters and backed by Deloitte's technology and engineering domain — transforms each meter into a data collection and control point, capable of handling thousands of data points per second. By providing real-time insights that enhance the resiliency and sustainability of energy systems, utilities companies can reduce energy demand forecasting latency, improve response time and field team efficiency, and increase grid safety and uptime.


"The electricity grid is becoming more complex with distributed energy resources, and scaling requires collaboration between global leaders," said Marc Spieler, senior director, energy, NVIDIA. "Working with Deloitte will enable utilities to use a truly open platform to achieve their decarbonization and electrification goals at scale."


"Our goal is to bring the best tools and outcomes to the market as the energy industry races to decarbonize and electrify," said Jess Melanson, president and chief operating officer, Utilidata. "By teaming with NVIDIA and Deloitte, we continue to break down barriers to make it easier to deploy AI at the grid edge to help solve the industry's biggest challenges."


The deployment of AI-enabled smart meters exemplifies how AI and edge computing capabilities enable grid operators to meet rising energy demand from homes and businesses, all while advancing decarbonization, affordability and resilience goals, and enhancing consumer experience. Utilidata and NVIDIA are also working to embed Utilidata's custom NVIDIA module with the Karman platform in other distribution grid devices, helping utilities leverage distributed AI for a wider range of grid planning and operational challenges.


By providing easy access to high-quality data and analysis in real-time, utilities can better understand and predict grid conditions, identify distributed energy resources and understand their impact, and reduce outages and equipment failure.


In addition to sustainability, intelligent grids can promote equity. Deloitte analysis found that if building sector decarbonization targets were met starting with low- and moderate-income customers, all energy-insecure households in every state could benefit from retrofitted, energy-efficient and cost-saving homes by 2035. Historic federal funding for grid investments alone could create 178,000 jobs in smart grid operations 

This announcement follows Deloitte's recent recognition as the 

2024 NVIDIA Global Consulting Partner of the Year

 for the fourth year in a row. Learn more about 

Deloitte's work with Utilidata and NVIDIA


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Utilidata is an AI-powered technology company providing utilities with robust, real-time insights to operate a connected grid. The company's distributed AI platform, Karman, provides unparalleled processing power to the electric distribution grid to accelerate decarbonization and better serve people.



Deloitte provides industry-leading audit, consulting, tax and advisory services to many of the world's most admired brands, including nearly 90% of the Fortune 500® and more than 8,500 U.S.-based private companies. At Deloitte, we strive to live our purpose of making an 

 by creating trust and confidence in a more equitable society. We leverage our unique blend of business acumen, command of technology, and strategic technology alliances to advise our clients across industries as they 

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Deloitte and Utilidata Establish First-of-Its-Kind Collaboration to Revolutionize the US Power Grid for a Sustainable Future

The University of Michigan Transportation Research Institute (UMTRI) has released 

 that studied the relationship between electric vehicle (EV) driving and charging behaviors to understand how those behaviors impact the electric grid. The study was conducted with Utilidata, an AI-powered technology company. 

"At UMTRI, our data collection and research projects are focused on creating a safer, more efficient, and equitable transportation future through data-driven decisions,” said Jim Sayer, UMTRI Director. “Working with Utilidata’s technology revealed the need to capture and analyze granular data locally to maximize the benefits EVs can provide to the grid while significantly mitigating risks. We hope this study will serve as a foundation for a more comprehensive research project to further explore how distributed AI can enable a more efficient and reliable grid to support electric transportation.”

UMTRI installed Utilidata’s distributed AI platform, Karman, via electric meter adapters at multiple EV charging stations on the University of Michigan campus to measure grid performance. Vehicle monitoring devices were installed on the EVs of drivers who charge their vehicles at one or more of the selected charging stations to uncover driving and charging behavior. Data was collected for 16 weeks and found that while there is considerable uncertainty around charging behavior and significant impacts to power quality, there is opportunity for EVs to add value to the grid.


Findings from this initial study include:

EV charging can cause unexpected rapid swings in current draw which can lead to inefficient energy consumption, resulting in overheated wires, transformer stress and possible outages.


Areas with high volumes of unmanaged EV charging are more likely to experience power outages.


Utilities need the ability to calculate high resolution measurements with local computation at individual locations to understand which locations can accommodate EV charging.


EV charging can cause equipment degradation and possible failure as it lowers power quality by introducing current harmonics generated from the conversion of AC to DC power.


With granular real-time data, utilities can manage EV charging in the presence of faults to mitigate the fault impact and facilitate faster recovery.

“It’s clear utilities need tools at the grid edge to fully understand the impact of EV charging in real time. Fortunately, the Karman platform identifies these issues and allows utilities to leverage AI models right at the source of charging to predict, model, and manage EV charging to prevent outages, lower grid costs, and add value to the grid,” said Utilidata CEO Josh Brumberger. “Working with UMTRI allowed us to combine our expertise in AI and the electric grid with UMTRI's expertise in innovation and transportation to identify opportunities and challenges on the grid as EV charging demand increases.”


Utilidata’s distributed AI platform, Karman, is being deployed with utilities to provide real-time visibility of the grid and leverage AI to predict and model grid conditions. This level of visibility and analysis will improve grid reliability and manage distributed energy resources like solar and EVs. Built on a custom module, based on the

edge AI platform, Karman is designed to be embedded into any grid edge device. Aclara, a division of Hubbell Incorporated, is t

 in a residential smart meter.

In 2022, Utilidata established an advisory board to bring together executives from utility companies, auto manufacturers, and technology providers to explore ways to leverage grid edge data to solve industry challenges like EV charging demand.

"As EV ownership increases, energy providers need real-time data to manage EV charging demand and provide effective customer programs,” said Ryan Jackson, Consumers Energy’s executive director of corporate strategy and a member of Utilidata's advisory board. “This computing platform can help us deeply analyze the impacts of a variety of EVs and EV chargers. These insights can be incredibly invaluable as we see more EVs connect to the grid."




Utilidata is an AI-powered technology company providing utilities with robust, real-time insights to operate a connected grid. The company’s distributed AI platform, Karman, provides unparalleled processing power to the electric distribution grid to accelerate decarbonization and better serve people.




UMTRI is a global leader in safe, equitable and efficient transportation research innovation. With partners across academia and sponsors in government and industry, UMTRI remains at the forefront of research innovation to help shape the evolution of a global transportation and mobility system. UMTRI experts focus on large scale data collection, driver behavior, human factors, engineering systems, injury and biomechanics, and are committed to data-driven changes in legislation that will ensure all individuals experience safe, equitable and efficient transportation and mobility options. For more information visit their 

Study from the University of Michigan Transportation Research Institute (UMTRI) Shows New Reliability Concerns Related to Electric Vehicle Charging

Utilidata, an industry leading AI-powered technology company, announced today that 

, a division of leading utility and electrical solutions provider 

, will be the first company to embed Utilidata’s distributed AI platform, Karman, in a smart meter to enable a connected grid that delivers clean and reliable energy. Built on a custom module that leverages the NVIDIA Jetson platform for artificial intelligence, Karman captures and analyzes robust, high-quality data to improve grid operations and manage distributed energy resources (DERs).

“As the grid becomes increasingly more complex and dynamic, utilities need more technology options to operate a clean and reliable grid. By combining Utilidata’s extensive knowledge of distributed AI with Aclara’s decades of experience providing industry-leading hardware, we’re now able to bring new, innovative, interoperable solutions to our customers, starting with smart meters,” said Erik Christian, Division President, Grid Automation of Hubbell.

Aclara, an industry leader with more than 30 million electric meters deployed in North America, will embed Karman into a smart meter to provide utilities with 100 times more processing power than traditional solutions. The Karman embedded meters will provide powerful local computation at the edge of the grid to understand and predict grid conditions and the impacts of DERs. Local AI models will continuously learn to improve grid planning, grid operations, load management, customer service, and a range of other benefits.

“This partnership with Aclara is the starting point of endless opportunities for integrating distributed AI onto the grid,” said Josh Brumberger, CEO of Utilidata. “Utilizing distributed AI, Karman enables better informed, real-time decisions at the grid edge to operate a modern grid. A meter-embedded distributed AI platform is only the beginning - there are more opportunities beyond meters within the electric grid ecosystem that can benefit from having easy to access data and predictive analytics.”

“Utilities are seeking more options for new and innovative technologies, like distributed AI, that give them easily accessible and actionable data,” said Elizabeth Cook, Vice President of Technical Strategy of the Association of Edison Illuminating Companies (AEIC). “Utilidata’s partnership with Aclara makes it easier for utilities to integrate this important technology as the industry continues to build a smart and adaptive grid that is resilient and reliable for customers.”

The partnership follows the trend of market momentum and federal funding driving the utility industry’s need to modernize and report its operational efficiencies, for which distributed AI holds vast potential. In October of 2023, the Department of Energy 

 $3.5 billion in funding for grid modernization projects, including awards to Portland General Electric and Duquesne Light Company to deploy over 100,000 Karman units to increase reliability and accelerate decarbonization and electrification.


“The grid is going to need software-defined solutions, like Karman, that can take on new and different applications over time,” said Marc Spieler, Senior Managing Director - Global Energy at NVIDIA. "NVIDIA’s platform allows companies to develop the software and AI solutions they need. We’re excited to partner with trusted leaders like Utilidata and Aclara to bring our proven platform to a new industry.”

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