# Kite

> Train robots faster. Augment datasets, train across models, and evaluate policies in simulation — on cloud GPUs, on demand.

## Docs

- [Kite Platform API](https://docs.kiteml.com/index.md): One small REST API for running Kite from your own code — augment robot datasets on cloud GPUs today, train and evaluate policies soon.
- [Platform API reference: endpoints, methods, and paths](https://docs.kiteml.com/platform-api/api-reference.md): Every Kite Platform API endpoint at a glance — augmentation and account routes, with methods, paths, and links to the OpenAPI spec.
- [Dataset augmentations: create, poll, and download runs](https://docs.kiteml.com/platform-api/augmentation.md): Generate augmented robotics datasets programmatically — point Kite at a dataset, describe the change, and get back a ready-to-train Parquet dataset.
- [API authentication: bearer tokens, scopes, and 401s](https://docs.kiteml.com/platform-api/authentication.md): Create a Kite API key and authenticate every Platform API request as a Bearer token, including key format, scopes, and 401 handling for invalid keys.
- [Platform API overview: augment robot datasets on demand](https://docs.kiteml.com/platform-api/overview.md): A small, predictable REST API for running the Kite platform from your own code — dataset augmentation and async runs on cloud GPUs.
- [Quickstart: augment a LeRobot dataset with one call](https://docs.kiteml.com/quickstart.md): Go from an API key to a downloaded, augmented LeRobot dataset in a few minutes using the Kite Platform API and a single curl request.