The Frontier AI Data Lab

Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine platform technology with research-driven data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Snorkel led the development of Senior SWE-Bench and launched Open Benchmarks Grants with a $3 million commitment to support open-source datasets, benchmarks, and evaluation research. Supported projects include Agents’ Last Exam, OSWorld 2.0, Terminal-Bench, Continual Learning Bench, and SlopCode Bench. Learn more at snorkel.ai or follow @SnorkelAI.

AI Data Development, Expert Data, Post-Training Data, LLM Training Data, Preference Data, Reinforcement Learning, RL Environments, Reinforcement Learning from Human Feedback (RLHF), Supervised Fine-Tuning (SFT), AI Benchmarks, AI Evaluation, Agent Evaluation, Agentic AI, and Frontier AI