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Labelbox

Data-centric AI platform for training data

AI InfrastructureFounded 2018#31 of 55 in AI Infrastructure

labelbox.comGitHubPyPI
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Company research

Current company data

No company research card is published for Labelbox yet. The current company data below lists package and repository 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)

449.5K/30d

Dependent projects

14

dependents · latest

GitHub stars

153

Public importing repos

21

repos · latest

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.

See latest dataHow we measure itAll research →

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

Metric dates vary by source

Metric dates
PyPI downloads
PyPI dependents
GitHub stars
Public GitHub repos using company packages

Key metric

Package downloads (30d)

449.5K/30d

Tracked package: PyPI labelbox

▼ -2%

Additional metrics

3 metrics

Metric

Dependent projects

14

Projects depending on tracked package: PyPI labelbox

Metric

GitHub stars

153

Main repository stars

Metric

Public importing repos

21

Public GitHub dependency data for tracked company packages

Repository health

Maintenance data from the main open-source repository.

Releases (30d)
0

Repository usage

Public repositories and source files importing packages tied to Labelbox.

Repos importing
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
labelbox.comgithub.com/Labelbox/labelbox-pythonPyPI: labelbox

Disclosed funding

Disclosed $189M · 5 rounds

Disclosed funding records total $189M. Category position #31 of 55 in AI Infrastructure.

Series D2022

SoftBank Vision Fund 2

$110M
Series C2021

B Capital Group

$40M
Series B2020

Andreessen Horowitz

$25M
Series A2019

Gradient Ventures

$10M
Seed2018

Kleiner Perkins

$4M

Investors

Andreessen HorowitzB Capital GroupGradient VenturesKleiner PerkinsSoftBank Vision Fund 2

Tracked packages (1)

1 PyPI

labelbox

PyPIMain PyPI package

labelbox

Data-centric AI platform for training data