Labelbox is a collaborative data training platform that creates and manages labeled data for machine learning applications. Rather than requiring companies to build their own expensive and incomplete homegrown tools to create or manage training data, Labelbox's platform acts as a central hub for data science teams to create and manage training data with internal or external labeling teams. This solves the problem of taking artificial intelligence and machine learning initiatives from research and development into production. In addition to working directly with their customers, the company's main product makes it easy to create and manage labeled data, enabling rapid deployment of artificial intelligence applications. It is backed by investor B Capital Group, Andreessen Horowitz, First Spherical Capital, and Kleiner Perkins. The San Francisco, California-based company was founded in 2017 by Brian Rieger, Daniel Rasmuson, and Manu Sharma.