Scale AI is a San Francisco-based company founded in 2016 that specializes in providing data labeling and annotation solutions essential for training and improving artificial intelligence (AI) and machine learning (ML) models. The company helps businesses by converting raw, unstructured data into accurately labeled datasets that can be used to develop effective AI applications. Scale AI's offerings include a data annotation platform that supports various types of data, such as text, images, videos, and 3D sensor data, making it useful across industries like autonomous vehicles, natural language processing, robotics, and more. The company's platform combines automation with human expertise to deliver high-quality data at scale, enabling faster AI development. It also prioritizes ethical AI practices like fairness and transparency. Scale AI's products include Scale Data Engine, Scale Donovan, and Scale GenAI, which help clients build, apply, and evaluate AI models more effectively. Their workforce through a subsidiary provides annotation services globally, offering automated, human-only, and hybrid data labeling approaches. Clients of Scale AI include major companies such as Google, Microsoft, Meta, General Motors, OpenAI, and U.S. government projects. The company's mission is to accelerate AI development by making data labeling faster, more reliable, and scalable, supporting various AI-driven innovations from autonomous driving to natural language applications. In summary, Scale AI plays a foundational role in the AI ecosystem by supplying the high-quality labeled data necessary for building and deploying successful AI models. Its comprehensive and scalable solutions position it as a key partner for enterprises driving AI innovation across multiple sectors. This information synthesizes details from multiple sources up to mid-2025.