ML Operations

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.

Work at Snorkel AI? Request updates to this profile. Update this profile