Snorkel.ai
Frontier AI data lab building specialized training data, benchmarks, and evaluation environments for high-stakes AI models and agents.
About
Snorkel AI helps frontier labs and AI teams develop specialized training data and environments that set their models and agents apart. The platform combines data programming, weak supervision, and programmatic labeling to create research-grade datasets, evaluation systems, and custom environments. Founded from the Stanford AI Lab in 2019, the company works with enterprise customers in finance, healthcare, government, and telecom to build trustworthy, auditable AI systems.
Core use cases
- Training data generation and curation for frontier models
- AI evaluation and benchmarking frameworks
- Trustworthy AI governance and auditability
- AI type
- AI-native
- Primary product type
- Data Pipeline / ETL Tool
- Secondary product type
- Agentic Platform
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