将研究人员与庞大的已验证受访者市场连接起来进行问卷调查,提供比 Branded 更广泛的受访者规模。
Branded 记录了 3,704,728 月访问量,月度环比增长为 +6.6%,定价为定价请咨询。Scale 记录了 616,915 月访问量,增长率为 +12.5%,定价为定价请咨询。
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.
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | gobranded.com | scale.com |
| 定价模式 | 定价请咨询 | 定价请咨询 |
| 月访问量 | 370.47万 (3,704,728) | 61.69万 (616,915) |
| 月度环比流量变化 | +22.9万 (+6.6%) | +6.87万 (+12.5%) |
| 主要市场与份额 | 🇺🇸 美国 (84%) | 🇺🇸 美国 (44.2%) |
| 直接访问 / 月 | 180.38万 | 19.14万 |
| 用户评分 | 4.1 | 4.7 |
| 支持的平台 | 网站 | 网站 |

精准研究受众搭配 AI 校验的数据质量
依据细致的画像,从 100 多个消费者细分与行业中招募参与者,涵盖首套房买家到特定职业群体。
通过 Audience API 实时连接自定义受众,把合格参与者直接送入你既有的研究编程工具。
以 AI 校验参与者回答、剔除无效样本,在洞察送达决策者之前守住数据完整度。
支持网络摄影机访谈、情绪 AI 研究、问卷与概念测试,也可使用自有或第三方研究平台。
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.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
将研究人员与庞大的已验证受访者市场连接起来进行问卷调查,提供比 Branded 更广泛的受访者规模。
专项更强简化计算机视觉数据集标注与模型训练,但不太适合通用的 LLM 文本任务。
专注于企业级数据标注和训练数据整理,类似于 Scale 的核心标注业务。
大规模执行 AI 主持的定性访谈与自动化研究,以互动式对话取代传统的样本面板调查。
提供企业级多模态标注和数据管理工具,但对托管式标注人力的强调较少。

专项更强在互联环境中跟踪、评估并交付 AI 模型与智能体。

专项更强招募经过验证的B2B专业人士与医疗专家进行专业受访者招募,但自动化消费者座谈会规模较小。

专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.

免费 / 开源提供灵活的开源替代方案,适用于自定义数据标注和人机回环(Human-in-the-loop)标注管道。