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GridCARE is expanding its GridCARE Power Acceleration platform to address one of the biggest challenges in AI infrastructure. The company wants to unlock existing grid capacity faster and support the growing energy demand of AI factories and data centers.
GridCARE Power Acceleration supports AI infrastructure
GridCARE Raises $64 Million Series A from Leading AI and Energy Investors to Create a New Category: Power Acceleration for AI
Oversubscribed round led by Sutter Hill Ventures and John Doerr – original investors in NVIDIA, Google, and Amazon – confirms that power, not compute, is the defining constraint for AI.
REDWOOD CITY, CA — GridCARE, the pioneer of Power Acceleration for AI, today announced the closing of its $64 million oversubscribed Series A financing. The new round represents a significant increase in valuation compared to the previous financing less than a year ago.
The round was led by Sutter Hill Ventures, one of Silicon Valley’s best known venture firms. The company previously invested in NVIDIA, Snowflake, and Astera Labs.
“A year ago, few people were talking about power as a bottleneck for AI. Today it has become the defining constraint for the industry,” said Vic Miller, Managing Director at Sutter Hill Ventures.
“GridCARE directly addresses this challenge with deep expertise, strong customer demand, and a highly experienced team. Power sits beneath every layer of the AI stack. We believe Power Acceleration will become a key technology for scaling the AI economy.”
The round also includes investor John Doerr, known for backing companies such as Amazon, Google, and Netscape.
“AI is accelerating breakthroughs in medicine, science, and climate,” said John Doerr. “However, energy remains a bottleneck. GridCARE unlocks affordable and sustainable energy by using capacity that already exists in the grid.”
Additional investors include National Grid Partners, Future Energy Ventures, Emerson Collective, Stanford University, Xora, Aina Ventures, Overture, Acclimate Ventures, and Clearvision Ventures.
The financing brings together several early investors from the AI industry around a shared belief. The next major challenge for AI is no longer compute power, but electricity supply.
Energy bottlenecks slow down AI growth
The Time-to-Energize Crisis
An analysis from Stanford shows that grid utilization averages around 30 percent. This means much of the existing infrastructure remains unused under normal operating conditions.
Despite this available capacity, connecting large AI projects to the grid often takes between six and ten years. Customers also face upgrade costs reaching hundreds of millions of dollars.
“This gap between energy demand and energy delivery is becoming one of the largest barriers to AI growth,” said Amit Narayan, co-founder and CEO of GridCARE.
“We call this the Time-to-Energize Crisis. AI factories are waiting for power instead of driving innovation in healthcare, education, and climate technology.”
GridCARE unlocks hidden grid capacity
Introducing Power Acceleration
GridCARE will use the new capital to expand Power Acceleration as a new category for AI infrastructure.
The company continues to develop GridCARE Energize™, its physics-based AI platform for data center energy activation and operations.
GridCARE Energize™ analyzes quadrillions of grid conditions in real time. The system models congestion, outages, weather, and demand changes simultaneously.
As a result, the platform identifies hidden capacity that traditional interconnection systems often miss. GridCARE reduces connection timelines from years to months.
This allows AI factories, utilities, and energy providers to bring gigawatts of new power online much faster.
“The largest new source of energy for the AI economy already exists inside the current grid,” said Ram Rajagopal, co-founder and CTO of GridCARE.
“Our task is to make that capacity visible and usable within months instead of years.”
Utilities and AI companies expand collaboration
Built In Alignment With Utilities
GridCARE works closely with utilities that operate the grid. The company focuses on collaboration instead of bypassing existing infrastructure providers.
Utilities face growing pressure from AI data centers, electrification, and industrial expansion. At the same time, they must maintain reliability and affordable pricing.
“The fastest and most affordable way to expand grid capacity is to unlock the megawatts already hidden inside the system,” said Steve Smith, President of National Grid Partners.
“Our work with GridCARE confirmed this approach earlier this year. We are now expanding the collaboration into additional markets.”
In October 2025, GridCARE and Portland General Electric completed a joint project in Hillsboro, Oregon. The project created a path toward more than 400 MW of additional capacity.
The first 80 MW are expected to come online in 2026.
GridCARE is now working on Power Acceleration projects across more than a dozen markets. Together, these projects represent more than 2 GW of new AI compute capacity.
Picture GridCARE Founder Team picture @ GridCARE
Source Future Energy Ventures GmbH
