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Scale AI Reviews

San Francisco, California

5.0/ 5

1 review

Scale AI, Inc. is an American artificial intelligence infrastructure and software company headquartered at 650 Townsend Street in San Francisco, California. Founded in 2016 by Alexandr Wang and Lucy Guo as part of the Y Combinator Summer 2016 batch, the company has established itself as a critical player in the global technology ecosystem, operating primarily as a data-centric infrastructure platform that accelerates the development of machine learning models. Originally conceived to supply human labor for complex data annotation tasks that could not be handled by algorithms alone—particularly for self-driving cars and mapping—Scale AI has since expanded its core operations to provide high-quality training data, Reinforcement Learning from Human Feedback (RLHF) services, large language model (LLM) evaluations, rigorous red-teaming, and full-stack enterprise software suites designed to safely build, deploy, and oversee AI applications. The company's primary value proposition rests on its ability to turn raw, unstructured data into actionable, high-quality intelligence required to train advanced AI systems. It services a diverse array of industries across both the private and public sectors, ensuring humans remain in the loop for critical decision-making. In the commercial space, Scale AI provides essential infrastructure to major technology companies, healthcare organizations, and frontier AI labs, including Microsoft, Meta, OpenAI, Google DeepMind, General Motors, the Mayo Clinic, and Time, powering approximately 90% of the world's leading generative AI model builders. In the public sector, the company operates as a key technology partner for world governments, notably the United States Department of Defense (DoD) and the Chief Digital and Artificial Intelligence Office (CDAO). Through multi-million dollar contracts, such as the Thunderforge initiative, and a $15 million Blanket Purchase Agreement with the Defense Information Systems Agency, Scale AI delivers critical prototypes, computer vision systems, and testing and evaluation services to support military planning, tactical operations, and AI ethics initiatives through 2027. Scale AI manages its massive, global data labeling operations partly through specialized subsidiaries, such as Remotasks, which focuses on computer vision and autonomous vehicle data, and Outlier, which focuses on annotating data for large language models. In March 2026, the company expanded its research capabilities by launching Scale Labs. This division builds upon its Safety, Evaluation, and Alignment Lab (SEAL) established in 2023, focusing on testing the reliability of advanced agentic and multimodal AI systems in real-world environments and creating public evaluation benchmarks like SWE-Atlas and Voice Showdown. Financially, Scale AI is a highly capitalized private entity. In June 2025, Meta Platforms executed a monumental deal, spending more than $14 billion to acquire a 49% non-voting stake in the firm. Following this transaction, cofounder Alexandr Wang departed to join Meta, and Jason Droege was appointed as the new Chief Executive Officer to lead the next phase of corporate growth. Backed by a premier cohort of institutional investors—including Y Combinator, Accel, Founders Fund, Amazon, AMD, and Tiger Global Management—the company has raised approximately $15.9 billion in total funding over its lifecycle, resulting in a market valuation of $29 billion. Employing over 1,300 professionals globally, Scale AI continues to set the industry standard for AI data engineering, alignment, and infrastructure, ensuring technological breakthroughs deliver real-world operational efficiency and robust risk oversight.