Describe what you need in plain English. Romi builds diverse, structured training data — streamed live, no scraping, no labeling.
Tell Romi the task in plain English — a domain, a tone, a label scheme. No config files, no schema definitions.
Romi streams varied, high-quality examples in real time — diverse, de-duplicated, structured. Up to 50,000 per dataset.
Pick a format — JSONL, Alpaca, ShareGPT, OpenAI messages, CSV — and download ready for your fine-tuning pipeline.
The internet is running out of training data. Romi fills the gap — generating high-quality synthetic datasets on demand, without scraping, labeling, or waiting months for contractors.
Fine-tune faster. Test edge cases that almost never happen. Scale across geographies and languages without local data collection operations.
Stop settling for scraped datasets, slow labeling pipelines, and low-quality synthetic data. Romi builds what you need, when you need it.