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Labelbox

Labelbox is an enterprise-grade data labeling platform designed to help organizations create, manage, and deploy AI applications.

$32Starting price
988KMonthly visits
50Popularity
Labelbox featured image

About Labelbox

Labelbox is an enterprise-grade data labeling platform designed to help organizations create, manage, and deploy AI applications. With Labelbox, users can quickly and accurately label their data sets, ensuring that their models are trained to the highest standards of accuracy. Labelbox enables users to build machine learning models faster and more accurately, reducing the time and resources required for training and deployment. Labelbox also provides a powerful suite of tools for labeling, validating, and tracking data sets, making it easy for users to keep track of their models and data sets. With Labelbox, users can quickly and easily create high-quality data sets that are ready to be used in AI applications. Labelbox is the perfect tool for organizations looking to streamline their machine learning process and create better models.

Key features

  • Quickly and accurately label data sets
  • Powerful tools for labeling, validating, and tracking data sets
  • Streamline machine learning process and create better models
  • Create high-quality data sets ready for AI applications
  • Reduce time and resources required for training and deployment

Use cases

  • Data labeling for machine learning model development
  • Automating data preparation for AI applications
  • Streamlining the machine learning process for organizations

Pros

  • Supports reinforcement learning (RL) workflows for frontier AI research and enterprise applications
  • Provides specialized tools for robotics, video annotation, and multimodal data labeling
  • Offers human preference signals and expert-driven evaluation frameworks for AI models
  • Enables integration with enterprise systems and APIs for real-world simulation environments
  • Partners with leading AI labs and organizations for collaborative research and development

Cons

  • May require significant setup and integration effort for enterprise workflows
  • Complexity of RL-specific features could pose a learning curve for new users
  • Dependence on expert-built scenarios and structured rubrics may limit flexibility in some use cases

Frequently asked questions about Labelbox

What is Labelbox and what does it do?

Labelbox provides a reinforcement learning (RL) data engine and platform designed for AI teams, offering data, environments, and evaluation infrastructure for building and improving AI models. It supports tasks such as data integration, scenario generation, RL training, and continuous model improvement.

Who is Labelbox designed for?

Labelbox is designed for frontier AI labs, enterprises, and innovators looking to build, evaluate, and deploy AI models, particularly those focused on specialist agents and real-world applications. It serves organizations that require high-quality data and evaluation frameworks.

How does Labelbox help with AI model evaluation?

Labelbox enables the creation of structured evaluation frameworks, including expert-built scenarios, synthetic edge cases, and rubrics for outcome and process evaluation. It also provides human preference signals and real-world grounding data to assess model performance.

What types of data and environments does Labelbox support?

Labelbox supports a range of data types, including video, trajectories, and multimodal annotations, as well as RL environments for reasoning, tool use, computer use, and other AI tasks. It also integrates enterprise APIs, databases, and internal systems for simulation environments.

Can Labelbox be used for robotics foundation models?

Yes, Labelbox offers full-stack data products for robotics foundation models, including video data, trajectories, and rich multimodal annotations for pre-training, post-training, and evaluation.

How does Labelbox ensure high-quality data and evaluations?

Labelbox employs expert-built scenarios, structured rubrics, and quality assurance processes to ensure high-quality data and evaluations. It also leverages human preference signals and real-world grounding from a network of knowledge experts.

Labelbox traffic & engagement

labelbox.com · third-party estimates from Similarweb

Data as of Sep 2026Full AI website ranking →
Monthly visits · Sep 2026988K+22.9% MoM12-month high 988K (Sep 2026)
Rank among AI websites#498▲ 73 vs last monthof 8,652 tools on aitoolnavio™
Rank in Coding & Development#93of 1,107 tools in this category
Top marketUnited States23.2%Top 5 countries bring 56% of visits
Average visit8m 13sLonger than 96% of AI sites
Pages per visit8.26More than 97% of AI sites
Bounce rate26%Lower than 97% of AI sites
Similarweb global rank#40,054#28,383 in United States

Traffic trend

Last 4 months · grows by one month every month

  • Jun 2026978K
  • Jul 2026616K−37%
  • Aug 2026804K+30.5%
  • Sep 2026988K+22.9%

Where visitors come from

Share of visits by channel

  • Direct47.3%
  • Referrals31.7%
  • Mail5.5%

Top countries

Share of visits · estimated visits

  • United States229K23.2%
  • Mexico102K10.3%
  • Indonesia101K10.2%
  • India83K8.4%
  • Guatemala34K3.4%

Other countries: 44.5%

Visits sent by AI assistants

How people reach this site from other AI tools

1.5K a month · 0.2% of all visits

  • ChatGPT37.5%
  • Claude26.8%

Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.

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