Labelbox: Which AI Data Factory tool is Best in 2025?

All these tools Labelbox offer flexible pricing models suitable for Walmart, Pinterest, Genentech, Liberty Mutual, Ancestry, Peloton, Dialpad, Warner Bros, Stryker, Shutterstock, ElevenLabs, Ideogram, P&G, Intuitive, Speak seeking AI-powered solutions to enhance their AI Data Factory efforts.

Labelbox

Starting from
custom
Pricing Model:
  • Labelbox services - Custom
  • Software subscription - Custom

These AI tools are among the best AI Data Factory tools available in 2025. For Walmart, Pinterest, Genentech, Liberty Mutual, Ancestry, Peloton, Dialpad, Warner Bros, Stryker, Shutterstock, ElevenLabs, Ideogram, P&G, Intuitive, Speak, tools like Labelbox help streamline the AI Data Factory process by offering AI-powered features.

What is Labelbox?

Labelbox, founded in 2018 by Manu Sharma, Brian Rieger, and Daniel Rasmuson, is a comprehensive data labeling and management platform designed to streamline the creation of high-quality training datasets for artificial intelligence and machine learning models. Labelbox empowers AI teams to build, operate, or staff their data factories with advanced tools, expert labeling services, and seamless integrations. Trusted by startups and Fortune 500 companies like Walmart, Pinterest, and Genentech, Labelbox supports diverse industries, including healthcare, retail, and autonomous driving.

Labelbox
(4.6/5)
  • Accuracy and Reliability:
    4.8
  • Customization and Flexibility:
    4.5
  • Data Privacy and Security:
    4.7
  • Ease of Use:
    4.6
  • Functionality and Features:
    4.7
  • Integration Capabilities:
    4.8
  • Performance and Speed:
    4.5
  • Support and Resources:
    4.3
Labelbox
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Labelbox

Pros

High-quality data annotation with model-assisted labeling.

Customizable workflows for tailored project needs.

Supports multiple data types (images

text

audio

video).

Seamless integrations with ML frameworks like TensorFlow and PyTorch.

Robust quality assurance tools like benchmark scoring and consensus.

Scalable cloud-native architecture for teams of all sizes.

Cons

Learning curve for complex workflows.

Pricing may be high for small teams.

Limited third-party integrations compared to some competitors.

Occasional performance lags during image loading or exports.

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Labelbox
  • Labelbox
  • San Francisco, California