Labelbox

Labelbox provides a unified platform for AI data labeling, curation, and evaluation, enabling teams to create high-quality training data at scale.

Labelbox, Inc. is a leading provider of data labeling and AI data engine solutions, headquartered in San Francisco, United States. Founded in 2018, Labelbox was established to address the growing need for high-quality, scalable training data in the rapidly evolving field of artificial intelligence. The company is led by CEO Manu Sharma and has positioned itself as a pioneer in the development of integrated platforms for frontier AI development. Labelbox offers three core solutions: an enterprise-grade software platform for annotation and workflow automation, a specialized data labeling service (Alignerr) leveraging a global network of subject matter experts, and an expert marketplace connecting AI teams with skilled annotators. The platform supports a wide range of data modalities, including image, video, text, PDF, geospatial, medical imagery, and audio, making it suitable for diverse AI applications across industries. Labelbox differentiates itself through advanced AI-assisted labeling, automated quality assurance, and collaborative tools that streamline project management and data operations. The company is trusted by leading AI teams worldwide and is recognized for its commitment to data privacy and security, maintaining SOC2 Type II certification and adhering to industry standards such as ISO 27001 and GDPR. Recent developments include the integration of foundation models for pre-labeling and quality assurance, expansion of its expert marketplace, and enhancements to its model evaluation capabilities. Labelbox continues to innovate in the AI data space, supporting both frontier model builders and task-specific AI teams with flexible, scalable solutions designed to accelerate the development of next-generation AI products.[1][2][3][4]