Accelerating the discovery and optimization of solid-state electrolytes through computational screening, machine learning, and shared workflows. We combine DFT calculations, molecular dynamics simulations, and data-driven approaches to identify promising ionic conductors, predict interfacial stability, and optimize synthesis pathways. Our tools and datasets are available as APIs for the broader research community.