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。Globality 记录了 10,078 月访问量,增长率为 +4.5%,定价为定价请咨询。
| 维度 / 指标 | ![]() | ![]() |
|---|---|---|
| 官方域名 | glean.com | globality.com |
| 定价模式 | 定价请咨询 | 定价请咨询 |
| 月访问量 | 330.19万 (3,301,875) | 1.01万 (10,078) |
| 月度环比流量变化 | +4856 (+0.1%) | +438 (+4.5%) |
| 主要市场与份额 | 🇺🇸 美国 (56.6%) | 🇺🇸 美国 (87.1%) |
| 直接访问 / 月 | 262.87万 | 7256 |
| 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。

从需求受理到定标的自主采购寻源平台
单一智能体可推理申请数据、判断合适的寻源方式,并代表你与供应商往来,各环节均可设置人工复核节点。
员工可用 Word、Excel 或自然语言提交采购申请,Glo 自动读取、分类并路由至寻源、临时用工、目录或采购订单,无需人工分拣。
依据提案质量、评估得分与中标历史为供应商打分,并结合优选供应商、MSA 与多元化规则筛选,可搜索自有供应商库之外的资源。
谈判智能体在价格与非价格条款上施加竞争压力,分析模块则模拟价格权衡、关税与运输路线情景以及单一供应商集中度风险。

CollegeVine is an operational intelligence platform for colleges and universities. It builds one unified model of the institution by connecting data from systems like Banner, Slate, PowerFAIDS, Workday, Canvas, and Raiser's Edge, then runs AI agents and workflows on top of that model to improve enrollment, student success, financial aid, academic operations, and institutional finance.
CollegeVine is an operational intelligence platform for colleges and universities. It builds one unified model of the institution by connecting data from systems like Banner, Slate, PowerFAIDS, Workday, Canvas, and Raiser's Edge, then runs AI agents and workflows on top of that model to improve enrollment, student success, financial aid, academic operations, and institutional finance.
专项更强Gumloop is a no-code AI agent and automation platform where teams build agents that connect to their tools, browse the web, and complete real business tasks.
专项更强Gumloop is a no-code AI agent and automation platform where teams build agents that connect to their tools, browse the web, and complete real business tasks.
免费 / 开源面向真实业务流程的无代码 AI 智能体与团队
一组 AI 智能体,调研、构建并维护你的业务成果物

专项更强Automates employee IT and HR support requests exceptionally well, but focuses less on general universal document search.