Snorkel AI

Snorkel AI is an enterprise data development and evaluation platform, evolved from programmatic weak-supervision labeling into a research-driven data lab. It builds custom training data, domain benchmarks, and evaluation environments (including evaluators and reward models) for frontier AI labs and large enterprises, delivered as platform plus expert services.

Snorkel AI began as a platform for programmatic data labeling, pioneering weak supervision techniques that let teams label large datasets using labeling functions rather than purely manual annotation. That approach, rooted in academic research from Stanford, aimed to make high-quality training data faster and cheaper to produce for machine learning and, increasingly, large language models. By 2026 the company has repositioned as a broader data development and evaluation partner. Rather than a purely self-serve labeling tool, Snorkel increasingly operates as a research-driven data lab that builds custom training datasets, domain-specific benchmarks, and evaluation environments for frontier AI labs and large enterprises. This includes work on evaluators and reward models used to assess and align model behavior, delivered as a combination of platform and expert services. Snorkel targets enterprises and AI labs with serious model-development needs, especially in regulated or specialized domains where off-the-shelf data is inadequate. Engagements typically start with scoped discovery, and pricing is enterprise-oriented rather than list-based, reflecting the custom, high-touch nature of the work.