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AI accelerated through cutting-edge science
Research with real-world impact
Our research team partners with world-leading organizations to develop new advancements in data-centric AI that powers production systems across a wide range of commercial and government applications.
Deep research roots
Born out of the Stanford AI Lab in 2019 and in collaboration with leading research institutions, Snorkel-affiliated researchers have published more than 170 peer-reviewed research papers on weak supervision, AI data development techniques, foundation models, and more—with special recognition at events such as NeurlPS, ICML, and ICLR. Our researchers are closely affiliated with academic institutions including Stanford University, University of Washington, Brown University, and the University of Wisconsin-Madison
Focus areas
Our mission is to make AI data development programmatic, like any other type of software development, and our research continues to explore how data can be used as the primary interface to specialize AI.
Generative AI
Our work in generative AI focuses on developing systems that create new content, such as text, images, or code for applied AI systems.
Foundation models
Our research on foundation models explores large-scale, pre-trained models like Llama and GPT. We focus on adapting these models to specific use cases through programmatic data development.
Data-centric AI
Our research on data-centric AI shifts the focus from model development to making data the center of AI.
Explore all of our articles and research papers
On-demand research talks
Gain insight into the latest advancements in AI from our researcher team.
