GridCARE has exited stealth mode, announcing its AI-driven technology platform designed to rapidly identify and unlock previously untapped electrical grid capacity for large-scale AI data centers. The Redwood City, California-based startup recently secured $13.5 million in seed funding led by deep-tech venture company Xora, alongside participation from Aina Climate AI Ventures, Sherpalo Ventures, Breakthrough Energy Discovery, and several individual investors.
According to GridCARE, its generative AI-based solution reduces the typical data center “time-to-power” from five to seven years down to just six to 12 months. This acceleration is achieved by discovering localized pockets of grid availability through detailed geographic and temporal analyses. GridCARE claims its platform can enable faster GPU and CPU deployment for AI workloads, streamlining expansions of existing facilities and identifying potential new site locations with sufficient immediate capacity.
The company positions itself as a direct partner for hyperscalers and large-scale data center operators, eliminating complexity involved with negotiating separately with multiple utility providers. GridCARE currently collaborates with utility companies such as Portland General Electric (PGE) and Pacific Gas and Electric (PG&E). According to PGE’s Senior Vice President of Advanced Energy Delivery, Larry Bekkedahl, “Collaborating with GridCARE and using advanced planning tools enables Portland General Electric to make more informed and faster decisions in bringing this critical infrastructure online with confidence.” Similarly, PG&E’s Executive Vice President of Engineering, Planning, and Strategy Jason Glickman stated, “GridCARE can help utilities unlock greater capacity from the existing grid, accelerating our ability to meet growing demand while benefiting all stakeholders, including our customers.”
GridCARE’s founding team includes experienced professionals from AI and energy sectors: CEO Amit Narayan (previously founder at Berkeley Design Automation and AutoGrid), Ram Rajagopal (Stanford professor specializing in AI applications for power systems), Liang Min (Executive Director at Stanford’s Bits and Watts Initiative), and Arun Majumdar (Dean of Stanford Doerr School of Sustainability and former VP of Energy at Google). The company is the first startup originating from the Stanford Sustainability Accelerator, affiliated with the Precourt Institute for Energy.
Source: GridCARE
