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Data as of May 29, 2026
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Snorkel AI
Data-centric AI platform for programmatic data labeling and curation
AI InfrastructureFounded 2019#39 of 54 in AI Infrastructure
Updated May 29, 2026
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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
Primary data point
Downloads
63.3K/30d
Tracked package: PyPI snorkel
▼ -26%Updated 1d ago
Other data points
Dependent projects
15
Projects depending on tracked package: PyPI snorkel
Updated 17h ago
GitHub stars
6.0K
Main repository stars
Updated 17h ago
Code usage
65
Public projects using this company's tools
Updated 17h ago
Repository health
Maintenance data from the main open-source repository.
OpenSSF ScorecardSource: OpenSSF ScorecardUpdates: WeeklyCaveat: Score 0–10 across security practices; not all checks apply to every repoMethodology →
3.5
Releases (30d)Source: GitHub release dataUpdates: WeeklyCaveat: Published releases in the last 30 daysMethodology →
0
Repository usage
Public repositories and source files importing packages tied to Snorkel AI.
Repos importingMetric: Public GitHub repos using company packagesSource: ecosyste.ms Packages APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Public GitHub dependency data only; private repos and direct API use outside those packages are not visible.Methodology →
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
Funding
$138M · 4 roundsRaised $138M total. Category position #39 of 54 in AI Infrastructure.
Series C2021
$85MAddition, BlackRock
Series B2021
$35MBlackRock
Series A2020
$15MGV, Greylock
Seed2019
$3MGV, Greylock, In-Q-Tel
Investors
AdditionBlackRockGreylockGVIn-Q-Tel
Tracked packages (1)
1 PyPI
snorkel
PyPIMain PyPI packagesnorkel
Data-centric AI platform for programmatic data labeling and curation