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 2018 by Brian Rieger, Daniel Rasmuson, and Manu Sharma.

Labelbox's core mission is centered around accelerating the development and deployment of artificial intelligence and machine learning technologies by providing a powerful and efficient data labeling platform. Their primary objective is to empower organizations and individuals to create high-quality training data, which is essential for building accurate and reliable AI models. By offering a user-friendly and collaborative environment, Labelbox aims to revolutionize the way teams work together on data annotation projects, ultimately driving innovation and growth in the AI industry.

• Innovation: Labelbox nurtures a culture of ingenuity and progress, inspiring employees to embrace new ideas and contribute to the evolution of machine learning and artificial intelligence.
• Collaboration: Labelbox emphasizes the importance of teamwork and open communication, fostering an environment where diverse viewpoints are valued and collective problem-solving is prioritized.
• Customer Focus: Labelbox is dedicated to understanding and addressing the unique needs of its clients, ensuring the delivery of high-quality, tailored solutions that drive success in the AI and ML industries.
• Continuous Learning: Labelbox supports the personal and professional growth of its employees, offering opportunities for skill development, knowledge expansion, and career advancement in the rapidly evolving field of AI and ML.
• Integrity: Labelbox operates with transparency and honesty, building trust with clients and employees alike by adhering to ethical practices and maintaining a strong commitment to delivering on promises.