Snorkel AI

Quick answers

What is Snorkel AI?

Snorkel AI is the frontier AI data lab that builds the data and environments behind advanced AI: the datasets, benchmarks, evaluations, and custom agents that help frontier and agentic systems work in the real world. Founded out of the Stanford AI Lab in 2019, it operates on the principle that better data makes better AI.

Is Snorkel a self-serve data labeling platform?

No. Snorkel is a frontier AI data lab, not a self-serve labeling tool. It delivers expert data development as a service: datasets, benchmarks, evaluations, and environments built with Snorkel's experts, rather than a SaaS app that a team runs themselves.

What makes Snorkel different from other data providers?

Snorkel is a research-driven data lab focused on measurable quality rather than volume. It differentiates through calibrated expert signal, rubrics and verifiers, difficulty calibration against frontier models, contamination controls, and a feedback loop with leading AI labs, all aimed at the hardest specialized problems.

Who does Snorkel work with?

Snorkel works with leading frontier AI labs and enterprises working on specialized, high-consequence problems. Frontier teams come for benchmark creation and RL/agentic evaluation, while enterprises come to build reliable, domain-specific AI grounded in their own data and operating knowledge.

Can Snorkel help with custom data projects?

Yes. Whether it's a benchmark, an eval set, RL environments, or specialized training data, Snorkel can help on essentially any data or evaluation project in a high-stakes domain. Teams start with a scoping conversation to determine if an off-the-shelf product, custom build, or mix is appropriate.