GridCARE, the company accelerating time-to-power for artificial intelligence, and National Grid (NYSE:NGG) today announced a collaboration that aims to more quickly connect large-load customers to the power grid while reducing costs for new infrastructure.

Utilities are seeing a surge in requests for new large loads, thanks to the reshoring of manufacturing and the global rise of AI infrastructure. Data center developers, for instance, often face delays of three to seven years to secure power through traditional interconnection processes. At the same time, significant grid capability often remains underutilized. Research from Stanford University indicates grid infrastructure operates at roughly one-third utilization under normal conditions. The GridCARE EnergizeTM platform uses advanced AI models, grid simulations, and real-time system intelligence to identify underused capacity. The approach can reduce time-to-energization from years to as little as 6-12 months, protecting grid reliability and customer rates.

In this first collaboration, National Grid and GridCARE will focus on identifying and unlocking capacity in New York for large-load customers.