GridCARE Raises $64M to Accelerate AI Data Center Grid Connections

Quick Facts

• GridCARE raised $64 million in Series A funding led by Sutter Hill Ventures, bringing total funding to $77.5 million
• The company has unlocked over $10 billion in economic value by bringing hundreds of megawatts online years ahead of schedule
• AI-driven power demand threatens to double data center electricity consumption from 448 TWh in 2025 to 980 TWh by 2030

GridCARE closed a $64 million Series A funding round to address what the company calls the “Time-to-Energize Crisis” facing AI data centers. The oversubscribed round was led by Sutter Hill Ventures and John Doerr, with participation from National Grid Partners, Future Energy Ventures, and Stanford University.

The funding comes less than a year after GridCARE emerged from stealth in May 2025 with $13.5 million in seed funding. The company now has raised $77.5 million total.

GridCARE’s Energize platform evaluates grid conditions in real time to identify available power capacity that traditional interconnection processes cannot see. The technology compresses interconnection timelines from years to months for large-scale data centers seeking grid connections.

“The largest source of new power for the AI economy isn’t waiting to be built. It’s already in the ground, hidden in the grid we already have,” said Ram Rajagopal, co-founder and CTO. “Our job is to make it visible and put it to work in months, not years.”

The company has demonstrated significant results. A project with Portland General Electric freed up 80MW of incremental capacity for additional data center load in 2026, part of more than 400MW that will be energized by 2029. GridCARE is now engaged in AI data center power acceleration projects across more than a dozen markets, totaling more than 2GW of new capacity.

The power crisis facing AI infrastructure has reached critical levels. Goldman Sachs forecasts a 165% increase in power needs by 2030, driving interconnection queues past 2TW. A 5-year backlog on grid transformers has delayed half of America’s planned 2026 AI data centers, according to Sightline Climate tracking.

Despite the crisis, U.S. grids operate below 32% utilization on average. Stanford analysis shows grid utilization sits at approximately 30%, meaning most existing power infrastructure remains unused under current operating conditions.

“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,” said CEO and founder Amit Narayan. Narayan previously founded Berkeley Design Automation and AutoGrid.

The founding team includes Stanford professor Ram Rajagopal, a leading researcher in AI for power systems, and Arun Majumdar, inaugural Dean of the Stanford Doerr School of Sustainability and former VP of Energy at Google. Google founding board member Ram Shriram recently joined GridCARE’s board.

GridCARE will host the inaugural Power Acceleration Summit in September 2026 to establish Power Acceleration as a new category for delivering power to the AI economy.

Read more: GridCare raises $64M to speed up AI data center projects