About dropoutt
We build the studio where training data gets good — because model quality is decided long before the training run starts.
What we believe
Every team training or fine-tuning a model repeats the same unglamorous work: eyeballing JSONL files, writing one-off dedupe scripts, guessing at language balance. That work decides model quality, and it deserves a real tool.
dropoutt turns dataset curation into a workflow — import, deduplicate, cluster, analyze, synthesize, review — so teams ship better data and train better models.