The neptune.ai team published a case study on how Kedro is used with Neptune (an experiment tracking tool) at a company called ReSpo.Vision: https://neptune.ai/customers/respo-vision

ReSpo.Vision uses computer vision and machine learning in sports data analysis to extract 3D data from single-view camera sports broadcast videos, providing players, scouts, managers, clubs and federations with an unmatched depth of knowledge. They concentrate on football (soccer) and target sports clubs, leagues, bookmakers and media.

Kedro pipelines are crucial to their tech stack because they manage the workflow through those pipelines. The team defines the number of pipelines for specific models, and algorithms of data processing methods as pipelines, enabling them to easily set parameters for multiple jobs, creating a manageable and reproducible workflow.