Labelbox is a San Francisco-based company founded in 2018 by Manu Sharma, Brian Rieger, and Daniel Chen. The company specializes in data-centric AI solutions, focusing on enhancing AI development through high-quality training data. Labelbox addresses the need for efficient and accurate data labeling, which is essential for training machine learning models.

The company offers a comprehensive platform that includes advanced annotation tools, workflow automation, and quality control systems. This SaaS platform supports teams in producing high-quality training data across various formats. Additionally, Labelbox provides a specialized data labeling service called Alignerr, which utilizes a network of subject matter experts for complex AI tasks. Their expert marketplace connects AI teams with skilled annotators, allowing for flexible scaling of data operations.

Labelbox serves a range of enterprise customers, including notable companies like Allstate and Bayer. The company has experienced rapid growth, reaching nearly $1 million in annual recurring revenue within its first year and continues to expand its offerings in the evolving AI ecosystem.