Clusy

An agent-native notebook platform that automates machine learning and data science workflows by turning plain language requests into executed experiments. It solves the problem of manual, repetitive notebook coding by handling data sourcing, cell writing, compute orchestration, and result delivery. The platform targets data scientists, ML researchers, and engineers at companies of all sizes, from startups to enterprises. Unlike traditional notebooks like Jupyter or Colab, it uses an agent that writes and runs cells while keeping full code-level control in a real, editable notebook.

Key features

• Describe experiments in plain language
• Automatic data sourcing and inspection
• Automatic cell writing and execution
• Managed cloud GPU/CPU compute
• Branching for parallel experiments
• Real notebook with full code control
• Support for multiple AI models
• Integration with external data sources