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。
Datavise 记录了 663 月访问量,月度环比增长为 -61.1%,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 | datavise.ai | scale.com |
| 定价模式 | 定价请咨询 | 定价请咨询 |
| 月访问量 | 663 (663) | 61.69万 (616,915) |
| 月度环比流量变化 | -1041 (-61.1%) | +6.87万 (+12.5%) |
| 主要市场与份额 | 🇮🇳 印度 (76.9%) | 🇺🇸 美国 (44.2%) |
| 直接访问 / 月 | 196 | 19.14万 |
| 用户评分 | 3.8 | 4.7 |
| 支持的平台 | 网站 | 网站 |

把企业数据变成可用系统的 AI、数据与云咨询服务
针对具体业务问题构建定制模型、LLM 集成与 AI 智能体,而非套用通用模板。
基于客户自有文档的检索增强生成流程,用于内容生成与实时分析。
覆盖 Tableau、Power BI、Snowflake 与 Databricks 的数据管理、仓库、可视化与报表工作。
在 AWS、Azure 与 Google Cloud 上构建可扩展的云端 AI 基础设施,含集成与部署支持。
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.
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。
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。
专项更强构建、模拟、评估并监控可自我改进的 AI 智能体

专项更强Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
专项更强Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services.
为企业打造 RegTech、生物识别与金融科技产品的 AI 驱动软件集团
专项更强连接开发者与经过验证的真人参与者来进行 RLHF 和模型评估研究,而不是提供托管式标注。