# Scale 根据 OpenAITools.app 于 2026-11-11 核对的流量数据，Scale（scale.com）是一个收录在 AI Developer Tools 下的 AI 平台，月访问量为 61.69万，月度环比流量变化为 +6.87万（+12.5%）。其主要地理市场为美国（44.2% 流量份额），采用定价请咨询定价模式。按月流量计算的主要竞争替代方案包括 Labelbox（76.28万次访问/月），SuperAnnotate（38.6万次访问/月），Encord（24.42万次访问/月）。 Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations. ## 关键遥测与规格 | 指标 | 数值 | | :--- | :--- | | 工具名称 | Scale | | 标识 | scale | | Status | active | | Origin | official | | Maintenance | active | | 官方域名 | scale.com | | 官网地址 | https://scale.com | | 分类 | AI Developer Tools, Large Language Models (LLMs), AI Models, AI Agent, AI Text Generator, AI Research Tool | | 定价模式 | 定价请咨询 | | 月访问量 | 616,915 | | 月度环比流量变化 | 68,685 | | 月度环比增长率 | +12.5% | | 主要市场 | 美国 | | 市场份额 | 44.2% | | 直接访问量 | 191,408 | | 自然搜索访问 | — | | 社交访问 | — | | 推荐访问 | 47,357 | | 邮件访问 | 6,334 | | 评价得分 | 4.7 | | 收藏数 | 3 | | 支持平台 | 网站 | | 计费平台 | | | 属性 | 功能: 网站; 定价: 定价请咨询 | | 标签 | AI 训练数据, 数据打标, 生成式 AI, 模型评估, RLHF, AI 安全, 基础模型, 企业级 AI, 数据引擎, LLM 评估 | ## 概览 Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations. ## 定价与套餐 Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity. ## 关键功能与能力 - **Data Engine:** Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require. - **Model evaluation & benchmarks:** Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers. - **Enterprise AI applications:** Platform and services teams that pick the right use case, build the system and take ownership of the outcome. - **Agentic deployment:** Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations. - **Domain expertise:** Programmes spanning healthcare, robotics, defence, public sector and enterprise with human oversight built in. ## 主要用例 - **Training data for foundation models (AI researcher):** Source expert-annotated training and preference data to fine-tune or align a model to a high quality bar. - **Independent model evaluation (ML platform lead):** Run private benchmarks and expert evaluations to compare model versions before and after a release. - **Enterprise AI deployment (Enterprise transformation lead):** Move past stalled pilots by scoping a concrete use case, building the system and measuring the outcome. - **Defence and public sector intelligence (Public sector analyst):** Turn large volumes of sensitive records and imagery into structured, decision-ready material. ## 优势 - Backed by a long track record in training data and model evaluation. - End-to-end coverage from data sourcing through to deployed systems. - Experienced with regulated, classified and safety-critical environments. - Benchmarks and leaderboards give an independent view of model capability. - Strong enterprise and public sector reference customers. ## 局限 - No public pricing or self-serve signup - you need a sales conversation to get started. - Enterprise-scale contracting and data operations require real internal commitment. - Overkill for small teams with modest data or evaluation needs. - Some projects involve sensitive government and defence work with strict compliance overhead. ## 常见问题 ### How much does Scale cost? Scale does not publish a price list. Engagement is handled through a sales process, with scope, volume and services determining the cost. Book a demo or contact the team to get a quote. ### What is Scale's Data Engine? Its Data Engine provides human-sourced and expert-annotated training data, RLHF and preference data, plus data foundry services for teams building or fine-tuning models. ### Does Scale work with governments? Yes. Scale works with government and public sector organisations, including classified and national security programmes, alongside private enterprise customers. ### Does Scale offer model evaluation? Yes. Scale runs public leaderboards and private benchmarks used to compare and improve model capability, alongside evaluations for safety and expert-level domain performance. ### Can Scale help me deploy an AI system, not just train one? Yes. Scale's platform offering supports building and deploying production AI systems, including agentic systems for enterprise use cases, rather than stopping at data supply. ### Scale 的月流量和增长趋势如何？ Scale 目前每月获得 61.69万访问量，月度环比流量变化为 +6.87万（增长率 +12.5%）。其主要来源市场是美国（44.2% 份额），包括每月 19.14万次直接访问和每月 — 次自然搜索访问。 ### Scale 免费吗？它的定价模式是什么？ Scale 采用定价请咨询定价模式。Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity. 支持的计费和结账平台包括：未列出。 ### 2026 年 Scale 的最佳替代方案有哪些？ 基于 OpenAITools.app 的分类流量和功能契合度，Scale 的前五个替代方案是：1. Labelbox（76.28万次访问/月）; 2. SuperAnnotate（38.6万次访问/月）; 3. Encord（24.42万次访问/月）; 4. Label Studio（13.72万次访问/月）; 5. Roboflow（143.12万次访问/月）。 ### Scale 支持哪些平台和核心 AI 能力？ Scale 被归类在 AI Developer Tools, Large Language Models (LLMs), AI Models, AI Agent 下，支持以下平台：网站，其核心能力标签包括：AI 训练数据, 数据打标, 生成式 AI, 模型评估, RLHF, AI 安全。 ## 替代工具 | 工具名称 | 月访问量 | 定价模式 | 对比 | | :--- | :--- | :--- | :--- | | [Labelbox](https://openaitools.app/zh/tool/labelbox) | 762,803 | 定价请咨询 | [对比](https://openaitools.app/zh/compare/labelbox-vs-scale) | | [SuperAnnotate](https://openaitools.app/zh/tool/super-annotate) | 386,034 | 免费试用，定价请咨询 | [对比](https://openaitools.app/zh/compare/scale-vs-super-annotate) | | [Encord](https://openaitools.app/zh/tool/encord-com) | 244,204 | 定价请咨询 | [对比](https://openaitools.app/zh/compare/encord-com-vs-scale) | | [Label Studio](https://openaitools.app/zh/tool/label-studio) | 137,199 | 定价请咨询，免费 | [对比](https://openaitools.app/zh/compare/label-studio-vs-scale) | | [Roboflow](https://openaitools.app/zh/tool/roboflow) | 1,431,204 | 免费增值，定价请咨询 | [对比](https://openaitools.app/zh/compare/roboflow-vs-scale) | | [Prolific](https://openaitools.app/zh/tool/prolific-co) | 77,755 | 付费 | [对比](https://openaitools.app/zh/compare/prolific-co-vs-scale) | | [Arize AI](https://openaitools.app/zh/tool/arize-com) | 249,028 | 付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/arize-com-vs-scale) | | [Maxim AI](https://openaitools.app/zh/tool/maxim-ai) | 121,351 | Contact for Pricing, Free Open Source | [对比](https://openaitools.app/zh/compare/maxim-ai-vs-scale) | | [Weights & Biases（CoreWeave Forge）](https://openaitools.app/zh/tool/prompts) | 315,624 | 免费增值，定价请咨询，免费 | [对比](https://openaitools.app/zh/compare/prompts-vs-scale) | | [Future AGI](https://openaitools.app/zh/tool/future-agi) | 121,741 | Freemium, Usage-based | [对比](https://openaitools.app/zh/compare/future-agi-vs-scale) | --- 来源：https://openaitools.app/zh/tool/scale