GridCARE develops the Energize platform, which uses physics-based AI models to evaluate grid conditions—congestion, outages, weather, and demand fluctuations—in real time to locate underutilized power capacity. The company positions this approach as a way to shorten interconnection timelines for large data centers and AI facilities from years to months by unlocking existing grid capacity. GridCARE reports active projects across more than a dozen markets representing over 2 gigawatts of prospective AI compute capacity and cites a Portland General Electric collaboration that identified a pathway to unlock more than 400 megawatts with 80 megawatts expected online in 2026. Co-founder and CTO Ram Rajagopal is a Stanford professor on leave, and the company emphasizes working collaboratively with utilities. GridCARE frames the market opportunity around a “Time-to-Energize Crisis,” arguing power availability is a growing bottleneck for AI expansion. Financially, the company recently raised a $64 million Series A in an oversubscribed round that materially increased its valuation versus a round less than a year earlier.

Total raised

$78M

Funding rounds

2

Latest round

Series A

Latest activity

May 2026