Clusy is an agent-native notebook platform for researchers and data teams to build, branch, run, and evaluate ML and data science workflows in the cloud. Describe a goal in natural language, and Clusy plans the workflow, sources datasets, preprocesses data, runs parallel experiments in replicated kernels, compares model architectures, and helps produce optimal models through a human-in-the-loop notebook experience.
Comparing Clusy? Try Deepnote for real-time collaboration, Saturn Cloud for scalable Dask/RAPIDS clusters, and Lightning AI for PyTorch-first apps. Prefer community models? Explore Hugging Face. Want a design-like UX for notebooks? Check out Zerve AI.