Not enough labeled data to train a classifier? Turn the few examples you have into a set big and varied enough to build one that holds up. You stay in control the whole way.
Get StartedA classifier is only as good as the range of examples it learns from. Generate more that look like your real data, and point each run at the situations you're short on.
Steer any run with a sentence. No ML background required.
Each run is seeded from your real rows, so new examples fit right in.
Review each example yourself, or let the good ones through automatically.
It only uses the categories you defined. Nothing off-list.
Every row is tagged by source, so you can always tell synthetic from real.
Accepted rows go straight into your dataset, ready to fine-tune.
Generate on OpenAI, Anthropic, Google, and Groq. Together AI now adds open models like Llama, Qwen, and DeepSeek.
Generate the examples you're missing, keep the good ones, and train a classifier that gets the job done.