Snorkel AI

What is Snorkel AI?

Snorkel AI is an expert data development company that builds curated datasets, evaluation systems and runnable environments for frontier AI models and specialized enterprise agents. It grew out of programmatic data labeling research at Stanford.

Key capabilities of Snorkel AI

• Expert-curated datasets: Research-grade training data for specialized domains.
• Custom failure-surface data: Datasets targeted at specific model weaknesses.
• Rubrics and programmatic evaluation: Task-specific grading instead of generic benchmarks.
• Specialized agent development: Custom agents built on proprietary data.
• Evaluation environments: Runnable environments for environment-grounded testing.

How Snorkel AI works

Customers describe a model's target tasks and failure modes, and Snorkel assembles expert-written data, rubrics and environments to match. Models are evaluated with programmatic graders and rubrics, and results feed back into training data. Engagements are consultative, with researchers and strategists working with the customer.

Who uses Snorkel AI?

Frontier AI labs and large enterprises building specialized agents for high-consequence workflows use it. Vendor-listed partners include Google, Stanford, AWS, Microsoft, Anthropic, OpenAI and Mistral AI.

Snorkel AI pricing

Snorkel does not publish pricing. Engagements are custom enterprise agreements arranged by talking to the vendor's data researchers or strategists.

Snorkel AI alternatives

Scale AI offers data labeling and evaluation at large scale, Surge AI provides expert human data, and Labelbox is a data-labeling platform. Snorkel is distinguished by programmatic data development and rubric-based evaluation.