On the fullstack side, we're building tools to apply our forecasts to automated battery storage optimization and energy volatility risk mitigation. Our stack includes Python, React/Next.js, Kubernetes, GCP, Postgres, and BigQuery.
Gridmatic uses ML and weather data to forecast energy prices in the US, optimizing large batteries to stabilize the grid and accelerate renewable energy adoption.
