Move from scattered dataset links across Slack, Notion, and bookmarks to a single, intelligent workspace built for AI initiatives.
Create dedicated projects for every AI initiative, and stop losing track of what data belongs to which model.
Build reusable, themed collections that bundle datasets your team returns to across initiatives.
Capture preprocessing decisions, evaluation notes, and model compatibility next to the data they describe.
Reference Hugging Face, S3, Git, internal stores, without duplicating storage or moving terabytes around.
Browse a growing library of community AI training recipes, reviewed and validated by our team. From RLHF fine-tuning to multilingual OCR, each recipe ships with the datasets, model config, and pipeline that delivered production results. Clone it, adapt it, ship faster.
Adapter-based fine-tuning with quantized base weights. ~6h on a single A100.
Or capture and share your own recipes as your team builds them, extending the library for the wider AI community.
Track how datasets flow through models, projects, and production. Maintain the visibility serious AI programs need, for audits, governance, and the EU AI Act.
Discover tens of thousands of curated AI datasets, order custom training data, and turn fragmented data pipelines into production-ready AI assets, all in one workspace.