Fathom 记录了 5,620,385 月访问量,月度环比增长为 +0.2%,定价为免费增值,免费试用。Openlayer 记录了 48,415 月访问量,增长率为 -6.4%,定价为免费增值,定价请咨询。
Openlayer is a platform that tests AI systems before release, monitors them in production, and enforces policy and compliance requirements across every model and agent your company runs.
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | fathom.video | openlayer.com |
| 定价模式 | 免费增值,免费试用 | 免费增值,定价请咨询 |
| 月访问量 | 562.04万 (5,620,385) | 4.84万 (48,415) |
| 月度环比流量变化 | +1.09万 (+0.2%) | -3303 (-6.4%) |
| 主要市场与份额 | 🇺🇸 美国 (44.8%) | 🇺🇸 美国 (44.1%) |
| 直接访问 / 月 | 407.15万 | 2.59万 |
| 用户评分 | 4.7 | 4.4 |
| 支持的平台 | 网站 | 网站 |

无需机器人的 AI 会议记录工具,自动转写并总结会议
可用可见记录机器人或完全无机器人方式记录会议,兼顾记录需求与参与者体验。
每次通话后立即获得准确转写、简洁摘要和提取出的待办事项。
在整个会议历史中搜索和提问,快速找出决策、承诺和规律。
笔记、洞察和跟进事项自动流入 Slack、Salesforce、HubSpot、Notion、Asana 等工具。
Openlayer is a platform that tests AI systems before release, monitors them in production, and enforces policy and compliance requirements across every model and agent your company runs.
Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.
提供强大的多语言对话搜索和 CRM 集成,但缺乏 Fathom 那种精简的免费录制档位。
生成结构清晰且带有可靠待办事项的笔记,但第三方集成比 Fathom 少。

免费 / 开源面向生产级 AI 的智能体可观测性、评估与持续改进平台

Great for clipping and sharing key video moments, but less focused on automated CRM syncing.

专项更强Mindgard is an AI security platform that performs attacker-style reconnaissance, automated red teaming, and continuous testing of AI models, agents, and applications to find and fix exploitable vulnerabilities.