BasicAI Cloud 记录了 21,670 月访问量，月度环比增长为 -13.1%，定价为 Freemium, Enterprise Quote。Prolific 记录了 18,697,671 月访问量，增长率为 -1.8%，定价为付费。
为 AI 训练数据而生的标注平台与托管标注服务
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | basic.ai | prolific.com |
| 定价模式 | Freemium, Enterprise Quote | 付费 |
| 月访问量 | 2.17万 (21,670) | 1869.77万 (18,697,671) |
| 月度环比流量变化 | -3266 (-13.1%) | -35.2万 (-1.8%) |
| 主要市场与份额 | 🇺🇸 美国 (21.7%) | 🇺🇸 美国 (48.8%) |
| 直接访问 / 月 | 8706 | 1297.97万 |
| 用户评分 | 4.2 | 4.6 |
| 支持的平台 | 网站 | 网站 |
为 AI 训练数据而生的标注平台与托管标注服务
在一个平台内支持边界框、多边形、关键点、语义分割、3D 点云立方体、文本/NLP 标注以及 RLHF 数据集创建。
覆盖图像、点云与音频的自动标注辅助，在保持精度的同时减少人工投入。
项目管理可适配团队结构，支持自定义工作流、进度追踪与详细绩效报表。
实时反馈结合可定制的批量质检规则，及早发现问题并锁定人工复核范围。
为 AI 训练、评估与研究提供高质量人类数据
按详细的人口统计、职业和行为条件筛选参与者，触达小众或具代表性的样本，而非泛泛的人群。
采集用于模型微调的人类偏好数据，开展安全性评估与红队测试，并通过反馈 API 把人工环节接入自动化流水线。
注意力检验、诚实度筛查和审批流程，帮助你在分析结果前剔除敷衍或欺诈性回答。
发布研究后能迅速开始收集回答，工具支持筛选条件、配额设定和纵向研究设计。
免费 / 开源在本地或云端运行和构建开源 AI 模型
拥有庞大的市场调查消费者样本库，但缺乏 Prolific 对学术研究与 AI 调校的专门聚焦。
免费 / 开源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
免费 / 开源ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.
免费 / 开源Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.
免费 / 开源Open WebUI is an open-source, self-hosted AI interface that lets individuals and organizations run any model — local or cloud — inside a workspace they fully control. It ships as a one-command install, supports Ollama, OpenAI-compatible and Anthropic endpoints, and extends through Python tools, functions and pipelines.
专项更强前沿 AI 训练所用的环境，以及负责重复性工作的智能体
专项更强SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
专项更强SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.
专项更强提供经过验证的B2B专业人士和医疗专家用于专项研究，但缺乏广泛的普通人群学术调查小组。
