Snorkel AI

Expert data development and specialized agents for frontier AI models

Enterprise·Technical

Key strengths

Research-grade, expert-curated training datasets for frontier AIRigorous calibration pipelines with full label provenance and audit trailsCustom benchmark and evaluation harness developmentSpecialized AI agent development grounded in domain-specific dataDeep academic roots — founded out of Stanford AI Lab with peer-reviewed research

Enterprise pricing

Redwood City, USA

Founded 2019

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Snorkel AI offers a Data-as-a-Service platform combining expert reviewer calibration, programmatic rubric graders, fine-tuned evaluator models, and full adjudication pipelines with provenance tracking. Their data development process covers human solution traces, reasoning traces, preference labels, grounding rubrics, verifiable outcomes (unit tests, deterministic graders), and runnable environments (repo + CLI, browser/GUI harness, multi-step stateful workflows). All benchmarks and evals are built alongside datasets with task-specific rubrics and reproducible scoring across model versions.

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