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Scale AI

Data labeling and AI infrastructure platform

AI InfrastructureFounded 2016#39 of 54 in AI Infrastructure

scale.comGitHubPyPI
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Company research

Current company data

No company research card is published for Scale 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)

63.9K/30d

Dependent projects

5

dependents · latest

GitHub stars

833

Hacker News

23/30d

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.

See latest dataHow we measure itAll research →

Company profile

What is Scale AI?

Scale AI provides a comprehensive platform for data labeling, annotation, and model evaluation, crucial for training and improving AI systems. They enable companies to build, fine-tune, and deploy AI models, particularly in areas like computer vision, NLP, and generative AI, by ensuring high-quality data inputs. Their services are vital for advancing AI development across various industries.

Latest company data

Metric dates vary by source

Metric dates
PyPI downloads
PyPI dependents
GitHub stars
Hacker News mentions

Key metric

Package downloads (30d)

63.9K/30d

Tracked package: PyPI scaleapi

▼ -57%

Additional metrics

3 metrics

Metric

Dependent projects

5

Projects depending on tracked package: PyPI scaleapi

Metric

GitHub stars

833

Main repository stars

Metric

Hacker News

23/30d

Position #14 in category discussion

Repository health

Maintenance data from the main open-source repository.

Key-person risk
2
External contributors
50
% of recent contributors outside the core team
Releases (30d)
0

Repository usage

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

Repos importing
50%

About Scale AI

Scale AI provides a comprehensive platform for data labeling, annotation, and model evaluation, crucial for training and improving AI systems. They enable companies to build, fine-tune, and deploy AI models, particularly in areas like computer vision, NLP, and generative AI, by ensuring high-quality data inputs. Their services are vital for advancing AI development across various industries.

FoundersAlexandr Wang, Lucy Guo
scale.comgithub.com/scaleapi/llm-enginePyPI: scaleapi

Disclosed funding

Disclosed $15.9B · 7 rounds

Disclosed funding records total $15.9B. Category position #39 of 54 in AI Infrastructure.

Series G2025
$14.3B
Series F2024

Accel

$1.0B
Series E2021

Greenoaks Capital, Dragoneer Investment Group

$325M
Series D2020

Tiger Global

$155M
Series C2019

Founders Fund

$100M
Series B2018

Index Ventures

$18M
Series A2017

Accel

$5M

Investors

AccelDragoneer Investment GroupFounders FundGreenoaks CapitalIndex VenturesTiger Global

Tracked packages (1)

1 PyPI

scaleapi

PyPIMain PyPI package

scaleapi

Data labeling and AI infrastructure platform