Clusy

What it does

Clusy is an agent-native notebook platform for machine learning and data science. Users describe a goal in natural language, and the Clusy agent plans the workflow, sources datasets, preprocesses data, writes and runs notebook cells on cloud CPUs or GPUs, and returns results. The platform supports branching so users can fork a notebook and compare experiments side by side. Every step remains visible in a real notebook, giving users full code-level control.

Who it is for

Clusy is designed for researchers and data teams who build, branch, run, and evaluate ML and data science workflows. Testimonials from the website mention users such as a MATS Research Fellow and Red-Teaming Contractor at OpenAI, a Postgrad Researcher at Tsinghua University, a Co-Founder & CEO using it for post-training open-weight models, an AI Research at Stanford, and others. The platform is also used for idea validation and market research.

Why it matters

Traditional notebooks like Jupyter or Google Colab provide an empty editor, requiring users to manually write all code. Clusy automates the end-to-end pipeline: dataset discovery, preprocessing, sandboxed training, and parallel experiments. This saves significant time and effort, as noted by users who say it "has made the workflow much faster" and "can handle the full LLM fine-tuning workflow end-to-end — all from a single prompt." The human-in-the-loop notebook experience ensures users can inspect, edit, and re-run any step.

Launch signal

Clusy is backed by Founders, Inc. and has a live product with a free plan available. The website includes testimonials from researchers and engineers at notable organizations (OpenAI, Stanford, Tsinghua University). Paid plans start at $30/month (Plus), with Pro at $90/month and Max at $200/month. The platform offers managed cloud sandboxes with various GPU options (T4, L4, A10, L40S, A100, H100, H200) and supports connecting to user data via upload, Hugging Face, Databricks, or Snowflake.

Brand and naming

The name "Clusy" is short, memorable, and suggests "clustering" or "clusivity" (inclusive grouping), fitting for a platform that brings together data, models, and experiments. The tagline "Agent-native notebook for modern data science" clearly positions it as an AI-powered evolution of traditional notebooks. The brand emphasizes automation and control, appealing to researchers who want efficiency without sacrificing transparency.