
Scale AI is a technology company that provides data infrastructure and tools to help organizations build, train, and deploy artificial intelligence systems. Founded in 2016 by Alexandr Wang and Lucy Guo, the company focuses on high-quality data labeling, data curation, and model evaluation services that power machine learning applications. Its platform supports industries such as autonomous vehicles, robotics, e-commerce, mapping, and generative AI by supplying the structured and annotated data needed to train modern AI models.
Headquartered in San Francisco, California, Scale AI has grown rapidly and employs more than a thousand people globally while coordinating a large distributed workforce of data annotators. The company works with major technology firms, startups, and government agencies, including projects supporting the U.S. Department of Defense and other public sector initiatives. Scale AI has become a key infrastructure provider in the AI ecosystem, particularly as demand for high-quality training data has surged with the rise of large language models and generative AI systems.
The company has raised significant venture funding and achieved a multi‑billion‑dollar valuation, positioning it among the most prominent AI infrastructure startups. In recent years, Scale AI has expanded its offerings to include tools for model evaluation, synthetic data generation, and enterprise AI deployment, reinforcing its reputation as a critical backbone provider for organizations building advanced machine learning and AI products.
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