Snorkel AI partners with frontier labs and AI teams to develop specialized training data, evaluation systems, and runnable environments for frontier models. The company focuses on data development where generic coverage runs out, offering curriculum-structured datasets (Snorkel Data Series), custom data development for specific failure surfaces, and specialized agents grounded in expert data. Snorkel's proprietary process includes calibrated expert review, rubrics and programmatic checks, well-specified expert-level tasks, adjudication and provenance, benchmarks and evals, and edge-case coverage. The same data development system used to improve frontier models powers specialized agents evaluated against task-specific rubrics and programmatic pass/fail criteria. Snorkel's research is co-developed and peer-reviewed with leading academic teams and frontier labs, producing benchmarks like Agentic Coding Benchmark and Terminal-Bench 2.0.
Key Benefits
- Expert-curated datasets for frontier AI
- Research-grade data development process
- Specialized agents grounded in expert data
- Partners with top frontier AI teams