Meet Neo
Watch Neo analyze data, debug models, and build ML workflows directly inside VS Code.
What Neo Does
Agentic ML Workflows
Plans and executes multi-step ML tasks like data validation, feature engineering, training, and evaluation.
Reproducible Outputs
Generates code, metrics, plots, reports, and trained models you can inspect, edit, and version.
Context-Aware Reasoning
Understands your repository, datasets, and experiments to adapt workflows based on results.
Platform vs VS Code Extension
Neo can be used via the web platform or directly inside VS Code. Most engineers will prefer the VS Code extension for full access to local code, data, and Git workflows.
| Platform Mode | VS Code Extension | |
|---|---|---|
| Setup | No setup required | Install extension |
| Data | Upload files (50MB) or cloud storage | Local files (unlimited) + cloud |
| Code Access | Download artifacts | Full IDE editing |
| Best For | Quick prototyping, collaboration | Customization, local dev, Git |
ML Pipeline
Neo helps automate and iterate across the entire ML lifecycle—from raw data to deployment—while keeping you in control of the code and decisions.
Next Step
Install the VS Code Extension and run your first task →