Scale AI is a data infrastructure company that provides high-quality training data, evaluation tools, and AI platform capabilities for organizations building and deploying artificial intelligence systems. Founded in 2016 by Alexandr Wang and Lucy Guo, the company is headquartered in San Francisco, California, and has grown into one of the most prominent AI data companies with a valuation exceeding $13 billion. Scale AI began as a data labeling service, providing human-annotated training data for machine learning models, and has expanded into a comprehensive AI platform serving both commercial enterprises and government customers. The company's core data labeling services cover a wide range of AI use cases including computer vision annotation for autonomous vehicles and robotics, natural language processing data for text classification and entity recognition, audio transcription and annotation, and reinforcement learning from human feedback (RLHF) data for training large language models. Scale has played a significant role in the development of many major AI systems, providing training data to leading AI companies. The Scale Generative AI Platform provides tools for enterprises to develop, evaluate, and deploy LLM-powered applications. This includes Scale Data Engine for curating and managing fine-tuning datasets, Scale GenAI Platform for building and testing AI applications, and Scale Evaluation for benchmarking model performance. The SEAL Leaderboard, maintained by Scale AI, provides independent benchmarks for comparing large language model capabilities. Scale also serves the U.S. Department of Defense and intelligence community through its Scale Donovan platform, which provides AI capabilities for government applications. Scale AI pricing is typically custom and contract-based, tailored to the specific data volume, annotation complexity, and platform requirements of each customer. The company employs a global network of human annotators alongside AI-assisted labeling tools to deliver training data at scale.

AI 数据分析

Scale AI 通过其生成式 AI 平台和评估工具提供数据分析功能。该平台使组织能够分析模型性能、评估数据质量、通过 SEAL 排行榜对 AI 系统进行基准测试，以及从机器学习开发和部署中使用的复杂数据集中获得洞察。

AI MLOps工具

Scale AI通过其用于管理训练数据管道的数据引擎、用于基准测试性能的模型评估工具以及用于测试和部署AI应用的平台功能来支持机器学习运维。这些工具解决了MLOps的以数据为中心的方面，通过高质量的训练数据和严格的评估确保模型质量。

AI模型托管

Scale AI的生成式AI平台使企业能够构建、测试和部署由LLM驱动的应用程序，提供提示工程、模型评估、微调数据管理和应用开发工具。该平台支持从模型选择和定制到生产部署和监控的完整生命周期。

AI 研究工具

Scale AI 通过 SEAL 排行榜进行独立模型基准测试、用于评估 LLM 能力的评估框架以及由领先 AI 研究实验室使用的训练数据基础设施来为 AI 研究做出贡献。该公司的标注服务支持了许多重要 AI 模型的开发和研究突破。

AI训练平台

Scale AI是AI系统训练数据的最大供应商之一，为计算机视觉、NLP、音频和RLHF数据提供人工标注服务，用于训练基础模型和专门的AI系统。该公司提供规模化的数据标注，具有质量保证，使组织能够使用准确标注的训练数据集构建高性能模型。