Clusy is an agent-native notebook platform for machine learning and data science. It lets users describe a goal in plain language, then helps plan the workflow, source and inspect data, select an approach, and run notebook cells end to end in the cloud. The app is designed to keep every step visible in a real notebook, so users can review, edit, rerun, and share the work with code-level control.

Clusy supports ML and data science workflows such as dataset preparation, model training, experiment branching, and comparison of results. It can work with uploaded files, public datasets, and connected data sources, and it runs on managed cloud CPU and GPU sandboxes. The platform is built for researchers and data teams that want an AI-assisted notebook experience while still retaining a familiar notebook structure for hands-on analysis and iteration.

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