Scalable model evaluation and turnkey pre-labeling

Automatically generate annotations, compare models, and evaluate outputs with LLM-as-a-judge workflows that support benchmark-grade testing and quality scoring.

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Works with popular LLMs and custom endpoints

Rapidly pre-label large datasets and evaluate models

Kickstart your data workflows with automated pre-labeling, integrated model comparison, and LLM-driven evaluation.

Use ground truth or reference data to generate annotations and benchmark model quality across accuracy, relevance, and alignment.

Evaluate models with custom benchmarks

Turn model evaluation into clear, repeatable metrics that map to your unique business outcomes.

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Compare models for costs and quality

Use versioned Prompts to benchmark and evaluate models at scale.

Compare model performance across quality metrics like accuracy, coherence, and safety.
LLM-as-a-judge evaluation enables automated scoring against human criteria.
Benchmark outputs to inform model selection, fine-tuning, and deployment decisions.

"With Prompts in Label Studio Enterprise, we've been able to bootstrap our labeling performance to near-human accuracy, transforming our data processing like never before."

Dr. Tilo Sperling Head of AI-Projects Business Applications