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Snorkel AI

Data-centric AI platform for programmatic data labeling and curation

AI InfrastructureFounded 2019#37 of 54 in AI Infrastructure

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Company research

Current company data

No company research card is published for Snorkel AI yet. The current company data below lists package, repository, and discussion metrics AI-Buzz can inspect today; AI-Buzz publishes a card when recent public metrics show a measured change with dated evidence and cited sources.

Package downloads (30d)

53.4K/30d

Dependent projects

15

dependents · latest

GitHub stars

6.0K

Hacker News

3/30d

Note: Public metrics are incomplete, and current data alone does not prove a trend; they do not show private usage, paid use, customer count, or product quality.

Company profile

What is Snorkel AI?

Snorkel AI provides a data-centric AI platform, Snorkel Flow, that enables enterprises to programmatically label, curate, and manage training data. By focusing on improving data quality and quantity, the platform helps organizations accelerate the development and deployment of AI applications. Its significance lies in addressing the critical bottleneck of data preparation, making AI development more efficient and scalable.

Latest company data

Metric dates vary by source

Metric dates
PyPI downloads
PyPI dependents
GitHub stars
Hacker News mentions

Key metric

Package downloads (30d)

53.4K/30d

Tracked package: PyPI snorkel

▼ -13%

Additional metrics

3 metrics

Metric

Dependent projects

15

Projects depending on tracked package: PyPI snorkel

Metric

GitHub stars

6.0K

Main repository stars

Metric

Hacker News

3/30d

Position #39 in category discussion

Repository health

Maintenance data from the main open-source repository.

OpenSSF Scorecard
3.5
Releases (30d)
0

Repository usage

Public repositories and source files importing packages tied to Snorkel AI.

Repos importing
650%

About Snorkel AI

Snorkel AI provides a data-centric AI platform, Snorkel Flow, that enables enterprises to programmatically label, curate, and manage training data. By focusing on improving data quality and quantity, the platform helps organizations accelerate the development and deployment of AI applications. Its significance lies in addressing the critical bottleneck of data preparation, making AI development more efficient and scalable.

FoundersAlex Ratner, Chris Ré, Henry Ehrenberg, Stephen H. Bach

Disclosed funding

Disclosed $138M · 4 rounds

Disclosed funding records total $138M. Category position #37 of 54 in AI Infrastructure.

Series C2021

Addition, BlackRock

$85M
Series B2021

BlackRock

$35M
Series A2020

GV, Greylock

$15M
Seed2019

GV, Greylock, In-Q-Tel

$3M

Investors

AdditionBlackRockGreylockGVIn-Q-Tel

Tracked packages (1)

1 PyPI

snorkel

PyPIMain PyPI package

snorkel

Data-centric AI platform for programmatic data labeling and curation