Aim is an open-source experiment tracking tool built for machine learning workflows. It captures and logs training run metrics, hyperparameters, and AI metadata during model development. The platform provides a web-based UI for visualizing and comparing experiments across runs, alongside a programmatic API for querying experiment data. It serves as an alternative to tools like TensorBoard and MLflow, focusing on observability for AI/ML development pipelines.