Cybersecurity · Redwood City, United States · Founded 2024
Gridcare operates as a critical intermediary in the energy sector, specifically targeting the immense power demands of the burgeoning artificial intelligence industry. Founded in June 2024 by a team with deep expertise in AI and energy, the company emerged from stealth in May 2025 with a significant $13.5 million oversubscribed Seed financing round. The founding team includes CEO Amit Narayan, a serial entrepreneur who previously founded AutoGrid (acquired by Schneider Electric) and Berkeley Design Automation (now part of Siemens). His co-founders are Ram Rajagopal, a Stanford professor specializing in AI for power systems; Liang Min, Executive Director of Stanford's Bits & Watts initiative; and Arun Majumdar, the inaugural Dean of the Stanford Doerr School of Sustainability and a former VP of Energy at Google.
The company's core business addresses a primary bottleneck for AI expansion: the multi-year delays data center developers face in securing power connections from utility grids. Gridcare's proprietary platform utilizes generative AI and grid physics modeling to analyze billions of data points, including grid network models, operational data, and regulatory filings, to identify underutilized or "invisible" capacity within the existing power infrastructure. This enables a "power-first" approach to site selection, shifting the paradigm from finding land and then seeking power, to identifying locations with immediate power availability first. By doing so, Gridcare drastically reduces the time-to-power for AI data centers from a typical 5-7 years down to as little as 6-12 months.
Gridcare serves two main client types: AI infrastructure developers, including hyperscalers and large data center operators, and utility companies. For developers, it acts as a one-stop power solution, accelerating their ability to deploy GPUs and CPUs. For utilities, such as partners Portland General Electric and Pacific Gas & Electric, the platform helps them maximize the use of their existing assets, generate new revenue from beneficial load growth, and potentially lower electricity costs for all customers. The company's revenue model is directly tied to its success, based on the megawatts of power capacity it unlocks for its clients, earned when a developer and utility enter into a contract.
Keywords: AI data center power, grid capacity analysis, energy infrastructure, power-first site selection, generative AI energy, utility grid optimization, data center energy solutions, time-to-power reduction, electrical grid intelligence, hyperscale power, interconnection queues, Amit Narayan, grid modernization, energy resilience, sustainable AI infrastructure, power procurement, electricity demand, Stanford Doerr School of Sustainability, Xora, Breakthrough Energy
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2team members profilednamed & role-tagged by Dealroom
Source: Dealroom Talent Intelligence. Public profiles show counts and the team's shape only — request a demo for the named individuals, per-person seniority and tenure, and team benchmarks vs peers.
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