On the ML infra side, we're working on infrastructure to scale to larger and more complex models, and to apply better (but more computationally intensive) weather models in our forecasting. 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.