LLM-powered
zero-code platform
for text classification
Get instant access to high quality labeled data for faster AI development.
Start for free
Data labeling is easier than ever
Start instant classification of your text data in minutes. Get accurateLLM-powered data labeling for your AI applications.
Quality
We give you the tools to achieve exceptional results. Tweak your prompt, add ground truth data, and run tests to find the best quality before you start labeling.
Speed
Experience the power of instant classification. View results and assess quality in real time to accelerate time to market for your AI apps.
Price
Our beta platform is free to test models and prompts — only pay for requests to a deployed model. Get started with free credits.
Powered by the latest large language models
Ready for instant high-quality text classification?
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How it works
Start with a prompt
We generate the model prompt for your data labeling task.
- Describe your classes for data labeling.
- Label a few examples from your dataset.
- Get your generated prompt and tweak as needed.
Prepare ground truth
data with zero effort
No labeling hassles! We deliver high-quality
golden sets for testing model output.
- To benchmark models, you need a large
set of accurately labeled data. - Our qualified annotators carefully prepare
golden sets from your dataset. - Just one click to submit the raw data —
we'll take care of the rest!
Iterate effectively with instant quality measurements
Try new prompts for better results.
- Run tests on each prompt version
to see the accuracy of model output. - Compare precision, recall, and F1 score.
Pick your variant and start collecting labeled data
- Choose the model and prompt that offer the best
cost-to-quality ratio for your task. - Instantly deploy to an endpoint for easy API access.
Ready to try out our no-code platform?
Coming soon: exciting tools
for top-notch performance
Stay tuned for upcoming enhancements to elevate your experience and streamline your workflows.
Subscribe to early accessFine-tuning for your
specific tasks
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models to try and compare
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