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Accelerated

Save time and costs by replacing manual labeling with rapid, programmatic labeling.
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Adaptable

Adapt to changing data or business goals by quickly changing code, not manually re-labeling entire datasets.
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Collaborative

Incorporate subject matter experts' knowledge by collaborating around a common interface–the data needed to train models.
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Accurate

Develop and deploy high-quality AI models via rapid, guided iteration on the part that matters–the training data.
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Governable

Version and audit data like code, leading to more responsive and ethical deployments.
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Private

Reduce risk and meet compliance by labeling programmatically and keeping data in-house, not shipping to external annotators.
Intelligence and advanced analytics
Healthcare
Digital transformation
Cybersecurity

With Snorkel Flow

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Customize state-of-the-art models by training with your data & adapt to changing data or goals with a few lines of code.
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Leverage cutting-edge ML to go beyond simple rules and retain the flexibility to audit and adapt.
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Label thousands of data points programmatically in hours while keeping your data in-house and private.

With conventional approaches

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Hand-labeled ML is hugely expensive, with usually no way to iterate, adapt, be privacy compliant, audit, or reuse.
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Pre-trained vendor models often don’t work on your data, no way to customize, adapt, or audit.
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Rules-based approaches often don’t perform well on complex data or adapt easily to data or goal changes.
The platform for data centric AI development

The platform for data-centric AI development

[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


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


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


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


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


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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


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December 21, 2022
How programmatic labeling can minimize data exposure


Research
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2022
On the Opportunities and Risks of Foundation Models


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January 4, 2023
Ask Me Anything approach bolsters foundation models


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2022
A Survey on Programmatic Weak Supervision


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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


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


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


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


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Are you ready to dive in?

Build high-quality AI 100x faster with Snorkel Flow, the AI data development platform.
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The Future of Data-Centric AI

June 7-8, 2023

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