01
5453.4万/月
AI 驱动的虚拟主机平台，将基于提示的网站搭建与一键托管 OpenClaw 智能体部署相结合。
AI Agent编辑评分：4.4付费+3.9%
付费
加载中…
头对头基准测试
Glean vs Process Street
Glean 记录了 3,301,875 月访问量，月度环比增长为 +0.1%，定价为定价请咨询。Process Street 记录了 226,993 月访问量，增长率为 +17.8%，定价为免费试用，定价请咨询。
Glean 记录了 3,301,875 月访问量，月度环比增长为 +0.1%，定价为定价请咨询。Process Street 记录了 226,993 月访问量，增长率为 +17.8%，定价为免费试用，定价请咨询。
把制度变成可验证的 AI 强制执行工作流
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | glean.com | process.st |
| 定价模式 | 定价请咨询 | 免费试用，定价请咨询 |
| 月访问量 | 330.19万 (3,301,875) | 22.7万 (226,993) |
| 月度环比流量变化 | +4856 (+0.1%) | +3.43万 (+17.8%) |
| 主要市场与份额 | 🇺🇸 美国 (56.6%) | 🇺🇸 美国 (56.1%) |
| 直接访问 / 月 | 262.87万 | 15.07万 |
| 用户评分 | 4.6 | 4.3 |
| 支持的平台 | 网站 | 网站 |
以公司自身知识为依据的企业级 AI
用自然语言提问，即可获得带引用的回答，内容汇总自各连接系统的文档、工单、Wiki 与消息，同时遵守权限。
可复用的智能体能跨业务应用执行入职、客户调研、故障跟进等多步骤流程。
Glean 自动挑选并路由合适的模型与推理层级，通过受治理的网关提供 40 多种 LLM 访问能力。
撰写符合品牌的文档、总结会议、分析数据，并生成以公司上下文为依据的内容。
把制度变成可验证的 AI 强制执行工作流
集中管理制度与 SOP，提供版本控制与治理能力，并对应 ISO 9001、SOC 2、SOX、FDA 等框架要求。
把制度转成含负责人、截止日期、条件逻辑与审批节点的结构化工作流，确保每一步都被执行而非假设已完成。
跟踪法规变化，自动完成相应工作，并在风险与缺口演变为审计发现之前提前识别。
记录每一步的完成人与完成时间，并把所需的文件上传、表单填写与审批记录附带在任务上。
AI 驱动的虚拟主机平台，将基于提示的网站搭建与一键托管 OpenClaw 智能体部署相结合。
Muse is Meta's personal AI agent that takes on real everyday tasks — from sorting email and booking reservations to shopping, managing calendars and building fitness plans — using its own secure virtual computer in the cloud.
Miro is a collaborative visual workspace where distributed teams diagram, plan, and run workshops on an infinite canvas, now enhanced with AI that can generate diagrams, summaries, and prototypes from board content.
Airtable AI is the AI layer of the Airtable platform: Omni, a conversational app builder and data analyst, plus Field Agents that research, enrich, and generate content inside your workflows.
Airtable AI is the AI layer of the Airtable platform: Omni, a conversational app builder and data analyst, plus Field Agents that research, enrich, and generate content inside your workflows.
基于 Notion 的 Custom GPT 构建、管理与变现操作系统
覆盖视频、文档、图表与数据的 AI 创意与效率软件套件
兼具智能体、邮件与文档的 AI 生产力套件
TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
