
Snorkel AI
Expert-curated training data, evaluation and benchmarks for AI developers
About Snorkel AI
Snorkel AI, which grew out of Stanford research on programmatic labeling, now focuses on developing curated datasets, evaluation systems and agent training environments for AI labs and enterprise teams. It also publishes public benchmarks.
Common use cases
- Post-training data for LLMs
- Domain-specific evals
- Agent evaluation
- Specialized enterprise models
Products and services
Snorkel Data Series
Curriculum-structured datasets with rubrics and difficulty tiers.
Custom data development
Bespoke datasets, evals and benchmark expansions.
Specialized agents
Custom agents built on specialized data and evaluated in workflows.
Benchmarks and leaderboards
Public evaluations such as Terminal-Bench.
Key features
- Expert-curated data
- Evaluation design
- Agent environments
- Benchmarks
- Programmatic labeling heritage
Snorkel AI alternatives
FAQs
What does Snorkel provide?
Curated training data, evaluations and agent environments.
Is it still a labeling platform?
Its site now emphasizes data development and evaluation services over a self-serve labeling product.
Who uses it?
Frontier AI labs and enterprise AI teams.

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