For the complete documentation index, see llms.txt. This page is also available as Markdown.

💡How does a custom data project work?

Every project follows four steps: define requirements (modalities, tasks, quality standards, formats), collect through privacy-aware workflows, process and validate with quality controls, then deliver model-ready data.

Formats include JSON, CSV, and Parquet, integrated directly into your AI workflows.

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