Grid intelligence startup GridCARE announced that it has raised $64 million in a Series A financing round, with proceeds aimed at scaling the company’s AI-powered platform designed to help data centers gain faster access to electricity from the grid.
According to the company, despite existing power infrastructure operating at only approximately 30% utilization on average, large-scale projects such as AI data centers often face interconnection timelines of six to 10 years and require costly grid upgrades, paid for by customers.
Founded in 2024, California-based GridCARE has developed GridCARE Energize, a platform that uses physics-based AI to identify and activate near-term capacity on today’s grid, enabling AI factories, utilities, and energy providers to unlock underutilized capacity and accelerate the delivery of large-scale AI infrastructure.
The company said that the platform evaluates quadrillions of grid conditions in real time, modeling congestion, outages, weather and demand variability simultaneously to identify available capacity that traditional interconnection processes cannot detect. The platform compresses interconnection timelines from years to months, the company added, enabling AI factories, utilities, and energy providers to bring gigawatts of new power online and operate reliably.
GridCARE said that the new capital will support the expansion of its GridCARE Energize platform and help establish “Power Acceleration” as a new category focused on delivering power infrastructure for the AI economy. The company added that it is currently engaged in projects spanning more than a dozen markets and over 2 GW of new AI compute capacity, and has unlocked more than $10 billion in economic value for data center developers by accelerating the deployment of hundreds of megawatts of power capacity.
Amit Narayan, co-founder and CEO of GridCARE said:
“This gap between when power is needed and when it can be delivered is emerging as one of the most significant constraints on growth in the AI economy. We call this the Time-to-Energize Crisis. It’s leaving AI factories waiting for power when they should be driving progress, slowing critical innovation across health, education, and climate, and putting national security and competitiveness at risk.”
The new funding round was led by Sutter Hill Ventures, an original investor in NVIDIA, Snowflake and Astera Labs, and new investors John Doerr, an early investor in Amazon, Google and Netscape, National Grid Partners, Future Energy Ventures, Laurene Powell Jobs’ Emerson Collective, and Stanford University, with participation from existing investors Xora, Aina Ventures, Overture, Acclimate Ventures, and Clearvision Ventures, alongside several individuals and family offices deeply involved in the AI infrastructure buildout.
Vic Miller, Managing Director at Sutter Hill Ventures said:
“A year ago, few people were talking about power as a bottleneck for AI – today it’s the rate-limiting step for the entire industry. GridCARE is directly addressing that bottleneck, with an unmatched team, deep domain expertise, and overwhelming customer demand. Power sits beneath every other layer of the AI stack, and we believe Power Acceleration will be the key technology that enables the AI economy to scale.”
