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 `itwinai` is a powerful Python toolkit designed to help scientists and researchers streamline AI and machine learning
 workflows, specifically for digital twin applications. It provides easy-to-use tools for distributed training,
 hyper-parameter optimization on HPC systems, and integrated ML logging, reducing engineering overhead and accelerating
-research. Developed primarily by CERN, `itwinai` supports modular and reusable ML workflows, with
-the flexibility to be extended through third-party plugins, empowering AI-driven scientific research in digital twins.
+research. Developed primarily by CERN, in collaboration with Forschungszentrum Jülich (FZJ), `itwinai` supports modular
+and reusable ML workflows, with the flexibility to be extended through third-party plugins, empowering AI-driven scientific
+research in digital twins.
 
 See the latest version of our docs [here](https://itwinai.readthedocs.io/).