Tools

AI-assisted life cycle assessment, built for real analysis. LCA Copilot supports the full LCA workflow—from structuring a study and defining system boundaries to interpreting results and preparing decision-ready outputs.

A Python package that makes it easier to interact with openLCA programmatically. Run automated calculations, repeatable workflows, and larger-scale scenario analysis without manual desktop work.

A Model Context Protocol server that creates a structured bridge between openLCA and AI-driven workflows—enabling more intelligent querying, orchestration, and interaction with environmental models.

A modular framework for evaluating the economic performance of green hydrogen production pathways under varying technical and market conditions.

A more capable environment for exploring bioprocess design, systems performance, and sustainability trade-offs across technical, economic, and environmental dimensions.