We have presented the ChemInformatics Model Explorer (CIME), which facilitates work with data from chemical compounds, AI models, and XAI methods. CIME is a significant step towards a better understanding and comparison of AI models in the chemical domain. It enables users to interactively explore chemical spaces by combining overview and detailed visualization techniques. CIME's model-agnostic nature allows it to be applied to a variety of cheminformatics tasks, as demonstrated in three use cases involving domain experts. We believe that CIME improves collaboration between chemists and data scientists and thus helps to improve cheminformatics workflows.