New Snorkel benchmark leaderboards. See the results.
Expert Data.
Unparalleled quality.
Snorkel delivers the highest quality specialized datasets for frontier LLMs and enterprise models.
Proud to partner with leading AI companies
Snorkel AI services and technology
Helping model providers and AI development teams push the boundaries of AI
Expert Data-as-a-Service
Expert training and evaluation data
Snorkel AI researchers and expert contributors curate and deliver specialized, high-quality datasets based on customer specifications and goals.
AI/ML Solution Services
Custom models and evaluations
Snorkel applied AI engineers and researchers curate training and evaluation data, and use it to provide you with specialized LLMs and evaluations.
AI Data Development Platform
AI data curation technology
Snorkel will deploy its AI data development platform on your infrastructure, enabling your AI/ML teams to curate AI data themselves.
Expert data, specialized AI
Learn how to turn expert knowledge into specialized AI at scale using Snorkel Expert Data-as-a-Service and Snorkel Evaluate.
Trusted by Leading AI Teams
Snorkel supports cutting-edge research labs and model development teams building the next generation of AI models.
A PhD-level benchmark for frontier LLMs
A leading LLM developer sought a dataset of multiple-choice Q&A questions that stretched beyond the limits of frontier LLMs. Snorkel AI developed a dataset that probed for PhD-level understanding, covering thousands of topics across humanities, STEM, and professional domains.
<20%
Pass rate by two frontier LLMs
1,000+
PhD-level sub-domains
The frontiers of multi-turn math reasoning
Snorkel provided a frontier LLM team with a dataset purpose-built to assess LLMs’ abilities to reason over math problems ranging from high school to graduate-level topics. Snorkel's differentiated approach to data development allowed the customer to control distribution across topics, skills, and complexity.
0%
Pass rate for frontier LLMs
900
Mathematical skills
Multi-turn, multi-agent AI assistant training data for a tech industry giant
A tech industry giant aimed to build better, more usable support assistants for its customers. We collaborated with them to build a deep, expert-crafted dataset of realistic multi-turn, multi-agent conversations—including simulated tool use.
3+
Tool calls per conversation,
which averaged 9+ turns
15+
Reasoning scenarios represented
Multi-step, multi-turn, and multi-tool Deep Research data
A leading LLM provider hired Snorkel AI to create a dataset to enhance its models’ deep research capabilities. Together with our expert network, Snorkel researchers assembled a dataset where each data point included a complex user query, a high-quality research plan, and a fine-grained response quality evaluation rubric.
10+
Average interactions between model and user
30+
Evaluation criteria developed per task on average
Featured Benchmarks
Exclusive to Snorkel, these benchmarks are meticulously designed and validated by subject matter experts to prove frontier AI models on demanding, specialized tasks.
Born at the Stanford AI lab
Research with real-world impact
Snorkel began in 2015 as the Snorkel Research project at the Stanford AI lab in collaboration with Google, Intel, DARPA, and other leading organizations.
The Snorkel AI team and affiliated researchers have been at the cutting edge of AI with over 170 published peer-reviewed research papers with special recognition at events such as NeurIPS, ICML, and ICLR.
See how Snorkel can help you get up to:
100x
Faster Data Curation
40x
Faster Model Delivery
99%
Model Accuracy