Programmatic labeling
Weak supervision
Data-centric AI

Snorkel DryBell: Tackling content classification at Google

Snorkel was used to create classifiers of comparable quality to ones trained with tens of thousands of hand-labeled examples, convert non-servable organizational resources to servable models for an average 52% performance improvement, and execute over millions of data points in tens of minutes.
Published at SIGMOD’19

Collaboration with US FDA and Veterans Affairs on text and image data

Snorkel provided 132% average improvements to predictive performance over prior heuristic approaches and came within an average 3.6% of the predictive performance of large hand-curated training sets.
Published at VLDB’19

Snuba: Outperforming automated approaches

In collaborations with users at research labs, Stanford Hospital, and on open-source datasets, Snorkel outperformed other automated approaches like semi-supervised learning by up to 14.4 F1 points.
Published at VLDB’19

Slice-based learning for
 language and vision tasks

Snorkel improved over baselines in terms of slice-specific and
overall performance by up to 19.0 and 4.6 F1 points respectively on applications spanning natural language understanding and computer vision benchmarks as well as production-scale industrial systems.
Read Research Paper

Cross-modal data programming

Snorkel yielded models that on average perform within 1.75 points and 10.3 ROC-AUC of those supervised with physician-years and -months of hand labeling respectively while using only person-days of developer time and clinician work—a time saving of 96%.
Read Research Paper
[get_press_posts]
Press
Blog
Research
Case studies
Press
Snorkel + Snowflake
January 25, 2023
Snorkel AI partners with Snowflake to bring data-centric AI to the Snowflake Data Cloud


Image
January 18, 2023
Snorkel AI Heads Into 2023 With Record Momentum and Growth


Image
November 22, 2022
Deepening Snorkel AI’s partnership with Microsoft Azure AI


Image
November 17, 2022
AI startup Snorkel preps a new kind of expert for enterprise AI


Blog
Image
January 20, 2023
Unmasking Trafficking Risk in Commercial Sex Supply Chains with Machine Learning


Image
March 1, 2023
Combining foundation models with weak supervision


Scrabble tiles spelling "foundation." Relevant to Foundation Models, no?
March 1, 2023
Foundation models: a guide


Image
December 21, 2022
How programmatic labeling can minimize data exposure


Research
Image
2022
On the Opportunities and Risks of Foundation Models


Image
January 4, 2023
Ask Me Anything approach bolsters foundation models


Image
2022
A Survey on Programmatic Weak Supervision


Image
January 26, 2023
How Foundation Models bolster programmatic labeling


Customer Stories
Pixability logo for a Snorkel Flow customer success case study
January 11, 2023
How Pixability uses foundation models to accelerate NLP application development by months


Image
December 23, 2022
How a top 3 US bank used Snorkel Flow to automate 10-K review for their analysts


Image
December 19, 2022
How Georgetown University’s CSET uses Snorkel Flow to build NLP applications to inform policy research


Image
November 2, 2022
How a big four consulting firm used NLP to monitor news for audits with Snorkel Flow


Image

Are you ready to dive in?

Build high-quality AI 100x faster with Snorkel Flow, the AI data development platform.
Get started
Image

The Future of Data-Centric AI

June 7-8, 2023

Claim your free ticket