Scale AI

Scale AI 是一家全球领先的数据标注、AI training model和自动化解决方案平台。通过提供高质量的数据标注、AI训练与微调、评测与安全性检测、企业级AI定制与MLOps等多种功能，Scale AI 助力企业提升 AI 研发效率和模型可靠性。其服务已覆盖 OpenAI、Meta、NVIDIA、以及美国国防部等科技巨头，成为了 AI 数据赛道中的重要“独角兽”。

随着人工智能的快速发展，“数据是新石油”已成为行业共识。如何高效、精准地为AI提供“燃料”数据，是各大AI企业突破与成长的关键。Scale AI正是全球领先的数据标注、AI训练模型和自动化AI全流程解决方案平台之一。本文将以新闻报道视角，结合清晰的结构和丰富的资料，为读者全面剖析Scale AI的特点、功能、定价、应用人群与行业地位。

Scale AI简介

Scale AI（Official website）创立于2016年，总部位于美国旧金山。公司由Alexandr Wang和Lucy Guo联合创办，致力于为AI训练模型、自动驾驶、智能零售、国防等领域提供专业的数据标注和AI生命周期管理解决方案。发展至今，Scale AI估值已突破138亿美元，成为AI数据赛道的“独角兽”。其服务对象包括OpenAI、Meta、NVIDIA、美国国防部等全球科技巨头及政府机构。

Scale AI的主要功能

作为一家赋能AI训练模型的数据基础设施企业，Scale AI提供多种核心功能，助力企业、高校和机构全面提升AI研发效率和模型可靠性。主要功能包括：

1. 高质量的数据标注(Data Labeling)

为图片、文本、语音、视频等不同类型的数据进行2D/3D标注、任务分类、物体检测与识别，全面适配自动驾驶、医疗、零售等行业需求。

• 自动驾驶数据标注（支持L2-L5自动驾驶级别）
• 图像/视频对象追踪与分割
• 文本情感分析与NLP数据标注
• 音频转录和意图识别等

2. AI训练模型与微调

通过大规模人类反馈（RLHF）、生成数据补全、高级数据分层管理，提升AI模型的理解与应用能力。平台可支持主流开源、闭源大模型（如OpenAI、Llama3、Meta、Anthropic等）的微调与定制。

3. 评测与安全性检测（Evaluation & Safety）

上线了专业的AI模型评估平台（如SEAL Leaderboard），对大语言模型（LLMs）和多模态模型进行安全性、鲁棒性和对抗能力测试。

4. AI数据引擎（Scale Data Engine）

企业和开发者可通过数据引擎轻松上传、管理、分发、标注和质检海量数据，支持端到端的AI数据全流程自动化管理。

5. 企业级AI定制与MLOps

提供从数据收集、自动标注、模型开发到上线运维的全栈服务，集成先进的AIOps与MLOps能力，显著加快企业AI落地速度。

主要产品一览表

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有关各产品详细信息可参考Scale AI官方产品介绍页面。

Scale AI的价格 & 方案

Scale AI采用灵活的按量付费与企业定制服务组合，以满足不同客户的数据需求和预算限制。

• Consumption-based（消耗型）：按项目数据量计价，包含基础费+单条数据标注单价。适合中小型团队和项目。
• Enterprise（企业级）：根据数据量和服务内容定制报价，配套专属开发、质量控制和数据管理。针对大企业、政府、研发机构。

具体定价视数据类型、规模、服务水平而变，可通过Scale AI官网申请演示与报价。

方案对比表

更多详细方案内容，可访问Scale AI价格页。

如何使用Scale AI

Scale AI为开发者、企业和研究机构提供了极为便捷的上手路径：

1. 官方平台注册

accessScale AI官网注册，创建公司/团队账户。

2. 项目初始化

在数据引擎页面上传数据或通过API对接，并选择对应的标注类型与任务描述。

3. 数据处理与质检

平台自动分配或人工参与标注任务，可实时监控进度，通过Nucleus等工具进行标注质量审核。

4. 模型微调与自动训练

将标注数据直接对接生成AI训练任务，或使用GenAI平台上传定制例子，实现个性化AI模型微调。

5. 评估与安全性分析

通过Evaluation工具或SEAL Leaderboard完成模型测试与Benchmark对比，获得专业评估报告。

6. 集成与部署

可将模型部署到企业流程、产品或APP，也可导入到第三方云/边缘环境。

使用流程简表

需详细了解操作，可查阅Official documentation。

Scale AI的适用人群

Scale AI定位于“AI系统数据基础设施”，服务对象覆盖AI赛道最核心企业群体：

• 自动驾驶/机器人领域研发企业（如Waymo、Cruise、丰田…）
• 生成式大模型公司与AI实验室（OpenAI、Meta、Anthropic等）
• 金融、零售、电商等数字化转型企业
• 医疗健康数据公司、安防与交通主管部门
• 政府及国防机构
• AI创业公司、高校研究团队
• 需要高质量训练样本和AI微调支持的企业及团队

行业地位、合作案例与发展趋势

Industry Status

• Unicorn statusScale AI, valued at over $13.8 billion, is a leading company in AI data infrastructure services.
• Wide customer coverageIt covers key upstream and downstream giants in the AI industry, including OpenAI, Meta, NVIDIA, Toyota, and the U.S. Department of Defense.
• Industry standard setterFor example, SEAL Leaderboard has become an important and authoritative platform for evaluating large models and red team offense and defense.

Cooperation and Real-world Cases

For more case details, please seeCustomer Case Page

Development trend

• Data quality and security are becoming increasingly critical.Scale AI is continuously improving its AI evaluation toolchain and data security compliance mechanisms.
• AI applications have permeated across the board.They continue to increase their investment in areas such as NLP, multimodal training, and autonomous driving.
• InternationalizationIt has already established branches in Europe and other places, and its services cover the whole world.

Frequently Asked Questions

1. What are the core differences between Scale AI and other AI data annotation platforms?

Scale AI is not just a data labeling company, but an infrastructure platform that integrates data collection, AI labeling, quality control, model evaluation, security compliance, and full-process AI automation.Its automated management and platform-based data engine, coupled with a powerful human feedback mechanism (RLHF), gives it a significant advantage over competitors that only offer outsourced annotation.

refer to:Regarding the official comparison answers

2. How to ensure the confidentiality and legal compliance of labeled data?

Scale AI complies with international security compliance standards such as GDPR and SOC 2.The platform also signs data confidentiality agreements with clients. It employs distributed access control, encrypted data storage, and access auditing to ensure the security of sensitive information and industry-secret data.

See detailsSecurity Compliance Statement。

3. If a company's AI training model needs change, can the service content be flexibly adjusted?

certainly.Scale AI supports dynamic service upgrades and customization.Whether it's temporary annotation expansion or multi-stage support for long-term AI projects, resources can be flexibly added, deleted, scaled, and adjusted on the data engine platform, with project requirements adjusted according to cycles and milestones.

Businesses can directlyOfficial websiteContact your account manager for a personalized deployment plan.

The AI industry is at a critical juncture, rapidly shifting from "data-driven" to "intelligence-driven" models. AI training model infrastructure platforms like Scale AI, which combine scale, efficiency, and security, have become the unsung "fuel" driving industrial upgrades. For any user hoping to transform their business future with AI-trained models,Scale AI is undoubtedly a high-quality choice that is easy to learn, widely used, and offers comprehensive services. In the future, with the increasing complexity of AI models and the explosive growth of data, Scale AI will undoubtedly continue to lead industry innovation and help the global intelligentization process reach a new level.

Chat endlessly with AI characters and start your own story.

Interact with a vast array of 2D and 3D characters and experience truly unlimited AI role-playing dialogue. Join now! New users receive 6000 points upon login!

How to play?Try it for free now →