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Data as of May 29, 2026
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Labelbox
Data-centric AI platform for training data
AI InfrastructureFounded 2018#32 of 55 in AI Infrastructure
Updated May 29, 2026
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Company profile
What is Labelbox?
Labelbox provides a data-centric AI platform that helps machine learning teams manage, curate, and label unstructured data to build and improve AI models. It streamlines the entire training data pipeline, from data annotation to model debugging, enabling faster and more accurate AI development. The platform is crucial for organizations looking to operationalize their AI initiatives by ensuring high-quality data powers their models.
Latest company data
Primary data point
Downloads
428.8K/30d
Tracked package: PyPI labelbox
▲ +4%Updated 1d ago
Other data points
Dependent projects
13
Projects depending on tracked package: PyPI labelbox
Updated 9h ago
GitHub stars
149
Main repository stars
Updated 9h ago
Code usage
21
Public projects using this company's tools
Updated 9h ago
Repository health
Maintenance data from the main open-source repository.
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 Labelbox.
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 →
210%
About Labelbox
Labelbox provides a data-centric AI platform that helps machine learning teams manage, curate, and label unstructured data to build and improve AI models. It streamlines the entire training data pipeline, from data annotation to model debugging, enabling faster and more accurate AI development. The platform is crucial for organizations looking to operationalize their AI initiatives by ensuring high-quality data powers their models.
FoundersManu Sharma, Brian Rieger, Daniel Wilson
Funding
$189M · 5 roundsRaised $189M total. Category position #32 of 55 in AI Infrastructure.
Series D2022
$110MSoftBank Vision Fund 2
Series C2021
$40MB Capital Group
Series B2020
$25MAndreessen Horowitz
Series A2019
$10MGradient Ventures
Seed2018
$4MKleiner Perkins
Investors
Andreessen HorowitzB Capital GroupGradient VenturesKleiner PerkinsSoftBank Vision Fund 2
Tracked packages (1)
1 PyPI
labelbox
PyPIMain PyPI packagelabelbox
Data-centric AI platform for training data