AI-powered grid capacity platform for data center power infrastructure
GridCARE operates a software platform that identifies unused grid capacity to accelerate power delivery for AI data centers. The stack—Angular, Node.js, PostgreSQL, AWS, GCP, and domain-specific tools like PowerWorld and PSCAD—reflects a hybrid play: web-first SaaS frontend paired with power-systems simulation backend. Active hiring across engineering, data, and sales (17 roles, 10 posted last 30 days) and a focus on interconnection automation and data visualization suggest the company is scaling go-to-market while solving a hard bottleneck: the months-long delay in connecting new AI infrastructure to available grid capacity.
GridCARE addresses the power-supply constraint blocking AI infrastructure deployment. The platform uses proprietary algorithms to locate and unlock grid capacity, then automates the interconnection request process—traditionally a manual, months-long cycle. The product surface includes interactive dashboards for utilities and developers, backend data ingestion pipelines, and study automation tools that compress interconnection timelines. Founded in 2024 and based in Redwood City, the 11–50-person team is engineering-heavy and actively expanding sales and data capabilities, targeting utility companies and AI infrastructure developers.
Frontend: Angular, Node.js, Express. Backend: PostgreSQL, Python (Pandas, NumPy), SQL. Cloud: AWS, Azure, GCP. Domain tools: PowerWorld, PSCAD for grid simulation and interconnection studies.
Core projects: AI-driven interconnection studies, data visualization dashboards, backend integrations, data ingestion pipelines, and study automation tools to accelerate grid capacity unlocking and reduce interconnection delays for AI data centers.
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