Labelbox is an AI data platform company that provides software, services, and staffing solutions to help organizations build, manage, and scale their AI data operations efficiently. Labelbox offers a unified set of tools and managed services designed to streamline the creation, labeling, and evaluation of high-quality data for machine learning and AI development.
What are Labelbox's Main Products and Services?
Labelbox delivers three core offerings to support modern AI data workflows:
- Services (Frontier Data): A fully managed solution for on-demand, high-quality labeled data and human evaluations, powered by Labelbox's exclusive Alignerr network. This service is designed to accelerate AI development by providing reliable human-in-the-loop data annotation and validation at scale.
- Software Platform & Tools: Labelbox's software platform enables teams to evaluate models, enhance datasets, and generate high-quality labeled data faster. The platform includes advanced tools for data creation, built-in AI automation, robust quality assurance, flexible management, and transparency features. It supports both computer vision (CV) and natural language processing (NLP) tasks, offering task-specific flexibility and workflow customization.
- Staffing (Alignerr Connect): This offering connects organizations with experienced AI trainers (Alignerrs) who can be hired directly to support in-house data operations. Alignerr Connect allows seamless integration of external AI data experts into existing processes and tools, helping teams scale their labeling and evaluation capabilities as needed.
Who Uses Labelbox?
Labelbox serves a diverse range of organizations building AI products and services. Its customers include technology companies, healthcare providers, retailers, and enterprises focused on AI innovation. Notable customers include ElevenLabs, Shutterstock, Ideogram, Stryker, Intuitive, Warner Bros., Peloton, Dialpad, Pinterest, Liberty Mutual, Ancestry, Walmart, Genentech, Procter & Gamble, Speak, Google, Covariant, Chegg, OpenAI, and SUNO.
What Problems Does Labelbox Solve?
Labelbox addresses the challenge of efficiently generating, labeling, and managing large volumes of high-quality data required for AI model training and evaluation. By offering integrated software, managed services, and access to skilled annotators, Labelbox helps organizations:
- Accelerate AI development cycles by reducing bottlenecks in data labeling and evaluation
- Improve data quality and consistency through automation, quality assurance, and expert staffing
- Scale data operations flexibly to meet project needs across computer vision and NLP domains
Who Leads Labelbox and When Was it Founded?
Labelbox was founded in 2018 and is led by CEO Manu Sharma. The company is headquartered in San Francisco, California, and has grown to a team of around 130 employees.
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