Scale AI

Scale AI provides data infrastructure and high-quality training data to accelerate the development of artificial intelligence systems across industries.

Scale AI, Inc. is a leading provider of data infrastructure and annotation services for artificial intelligence (AI) and machine learning (ML) applications. Founded in 2016 by Alexandr Wang and Lucy Guo, the company emerged from Wang’s realization that the lack of high-quality, well-labeled data was a critical bottleneck for AI progress. Wang, a former MIT student, and Guo, a Carnegie Mellon dropout and Thiel Fellow, built Scale AI to bridge this gap by combining advanced machine learning algorithms with a scalable human-in-the-loop workforce. The company’s platform enables organizations to generate, annotate, and manage large volumes of data for computer vision, natural language processing, and other AI modalities. Scale AI’s early traction came from the autonomous vehicle sector, but it quickly expanded to serve clients in government, e-commerce, robotics, mapping, and more. Its customer base includes major technology companies, automotive manufacturers, and U.S. government agencies. Scale AI differentiates itself through its robust quality control mechanisms, proprietary annotation tools, and ability to handle complex, large-scale projects with rapid turnaround. The company is recognized as a foundational player in the AI ecosystem, powering the data pipelines behind many leading large language models and computer vision systems. Recent developments include expanding into synthetic data generation, red-teaming and evaluation services for AI safety, and supporting enterprise adoption of generative AI. With a workforce of over 700 employees and a global annotator network, Scale AI continues to innovate at the intersection of data, automation, and human expertise, positioning itself as an enterprise leader in the rapidly evolving AI infrastructure market.