# Aquin 根据 OpenAITools.app 于 2026-11-11 核对的流量数据，Aquin（aquin.app）是一个收录在 AI 浏览器下的 AI 平台，月访问量为 0，月度环比流量变化为 +0（0%）。其主要地理市场为全球（— 流量份额），采用定价请咨询定价模式。按月流量计算的主要竞争替代方案包括 Dia 浏览器（125.42万次访问/月），Labelbox（76.28万次访问/月），DeepSeek（3.73亿次访问/月）。 Aquin (Aquin Labs) is an AI research organisation working on interpretability and applied prediction. Its core project, Aleph, is positioned as a universal predictor for applied ML, data science and annotation work, producing schema-bound outputs such as probabilities, labels, boxes and scores that programs can consume. Alongside it the lab publishes research on attention circuits, weight editing and self-learning developer agents. ## 关键遥测与规格 | 指标 | 数值 | | :--- | :--- | | 工具名称 | Aquin | | 标识 | aquin | | Status | active | | Origin | independent | | Maintenance | active | | 官方域名 | aquin.app | | 官网地址 | https://www.aquin.app | | 分类 | AI 浏览器, AI 搜索引擎, AI 助手, AI 语音转文字, AI 文字转语音, AI 图像描述 | | 定价模式 | 定价请咨询 | | 月访问量 | 0 | | 月度环比流量变化 | 0 | | 月度环比增长率 | 0% | | 主要市场 | 全球 | | 市场份额 | — | | 直接访问量 | 0 | | 自然搜索访问 | 0 | | 社交访问 | 0 | | 推荐访问 | 0 | | 邮件访问 | 0 | | 评价得分 | 4.1 | | 收藏数 | 0 | | 支持平台 | 网站 | | 计费平台 | | | 属性 | 功能: 网站 | | 标签 | 浏览器, AI 浏览器, 生产力, AI 搜索引擎, 禅模式, 网页交互, 自定义快捷键, 图片搜索, 语音转文字, 标签页管理, 隐私, 开源 | ## 概览 Aquin (Aquin Labs) is an AI research organisation working on interpretability and applied prediction. Its core project, Aleph, is positioned as a universal predictor for applied ML, data science and annotation work, producing schema-bound outputs such as probabilities, labels, boxes and scores that programs can consume. Alongside it the lab publishes research on attention circuits, weight editing and self-learning developer agents. ## 定价与套餐 Aquin does not publish a public price list. The site mixes freely readable research with applied engagements, so commercial terms are discussed directly with the team. ## 关键功能与能力 - **Universal predictor (Aleph):** A single base that handles tables, media, annotation and decision tasks, with the option to fine-tune toward your specific data. - **Schema-bound outputs:** Outputs are typed and scored rather than free text, so downstream programs can act on results and escalate low-confidence cases. - **Interpretability research:** Treats attention as a routing map from a single forward pass, isolating a small subgraph aimed at the answer and testing it under ablation. - **Weight editing experiments:** Agentic weight-editing experiments that localise causal layers, apply rank-one MLP updates and validate then roll back steps when checks fail. - **Self-learning developer agent:** An agent for controlling developer environments and running coding or research loops with recorded lessons and rejected paths. ## 主要用例 - **Run classification and annotation at scale (ML engineer):** Point Aleph at your tables and media assets to produce labelled, scored outputs that a production system can consume. - **Build a human-in-the-loop review queue (Data science lead):** Use confidence scores to route only the genuinely uncertain cases to a human reviewer, keeping review time focused. - **Investigate what a model learned (AI safety researcher):** Apply attention-circuit and weight-mechanism findings, and the interpreter tooling, to understand what a model is relying on. - **Prototype and refine models (Foundation model team):** Use the aq developer environment and axi agent to iterate on models and measure changes with structured lessons and rejected paths. ## 优势 - Research-grade interpretability work published openly alongside the applied product - Outputs designed for programs rather than chat, which suits automation pipelines - Explicit confidence scores make it practical to escalate uncertain predictions - One base is claimed to cover tables, media, annotation and decisions ## 局限 - Aquin Labs is a research organisation, so most output is papers and interfaces rather than a polished consumer app - Aleph is described as a predictor for programs and teams, not a general chat assistant - No transparent public price list was found for commercial engagements - Material is heavily technical and assumes familiarity with ML evaluation work ## 常见问题 ### What does Aquin actually offer today? Aquin Labs is a research organisation. Its main applied product is Aleph, described as a universal predictor for applied ML, data science and annotation workloads that teams fine-tune to their own data. ### Is Aleph a chatbot? It is deliberately not a chat assistant. The emphasis is schema-bound output for programs - probabilities, labels, boxes and scores with confidence values - so you can route or escalate uncertain cases in code. ### Can I buy Aquin off the shelf? No public self-serve plans were displayed. Businesses typically need to contact the team to discuss a commercial arrangement. ### Does Aquin release research I can use? Yes, in a limited way. The lab publishes an interpreter for attention routing graphs, tiled SVD work on weight mechanisms and applied interpretability research you can read and use. ### Aquin 的月流量和增长趋势如何？ Aquin 目前每月获得 0 访问量，月度环比流量变化为 +0（增长率 0%）。其主要来源市场是全球（— 份额），包括每月 0 次直接访问和每月 0 次自然搜索访问。 ### Aquin 免费吗？它的定价模式是什么？ Aquin 采用定价请咨询定价模式。Aquin does not publish a public price list. The site mixes freely readable research with applied engagements, so commercial terms are discussed directly with the team. 支持的计费和结账平台包括：未列出。 ### 2026 年 Aquin 的最佳替代方案有哪些？ 基于 OpenAITools.app 的分类流量和功能契合度，Aquin 的前五个替代方案是：1. Dia 浏览器（125.42万次访问/月）; 2. Labelbox（76.28万次访问/月）; 3. DeepSeek（3.73亿次访问/月）; 4. Deep Search（35.9万次访问/月）; 5. Adept（1.23万次访问/月）。 ### Aquin 支持哪些平台和核心 AI 能力？ Aquin 被归类在 AI 浏览器, AI 搜索引擎, AI 助手, AI 语音转文字下，支持以下平台：网站，其核心能力标签包括：浏览器, AI 浏览器, 生产力, AI 搜索引擎, 禅模式, 网页交互。 ## 替代工具 | 工具名称 | 月访问量 | 定价模式 | 对比 | | :--- | :--- | :--- | :--- | | [Dia 浏览器](https://openaitools.app/zh/tool/dia-browser) | 1,254,172 | 免费 | [对比](https://openaitools.app/zh/compare/aquin-vs-dia-browser) | | [Labelbox](https://openaitools.app/zh/tool/labelbox) | 762,803 | 定价请咨询 | [对比](https://openaitools.app/zh/compare/aquin-vs-labelbox) | | [DeepSeek](https://openaitools.app/zh/tool/deepseek) | 372,761,591 | 免费增值 | [对比](https://openaitools.app/zh/compare/aquin-vs-deepseek) | | [Deep Search](https://openaitools.app/zh/tool/deep-search) | 359,001 | 付费 | [对比](https://openaitools.app/zh/compare/aquin-vs-deep-search) | | [Adept](https://openaitools.app/zh/tool/adept) | 12,261 | 定价请咨询 | [对比](https://openaitools.app/zh/compare/adept-vs-aquin) | | [Scalebrowser](https://openaitools.app/zh/tool/scalebrowser) | 161,955 | 免费试用，付费 | [对比](https://openaitools.app/zh/compare/aquin-vs-scalebrowser) | | [Vocareum](https://openaitools.app/zh/tool/vocareum-com) | 531,556 | 付费 | [对比](https://openaitools.app/zh/compare/aquin-vs-vocareum-com) | | [Headstarter](https://openaitools.app/zh/tool/theheadstarter-com) | 1,665 | 定价请咨询 | [对比](https://openaitools.app/zh/compare/aquin-vs-theheadstarter-com) | | [Perplexity Comet](https://openaitools.app/zh/tool/perplexity-comet) | 4,165 | 免费增值，付费 | [对比](https://openaitools.app/zh/compare/aquin-vs-perplexity-comet) | | [Opera Neon](https://openaitools.app/zh/tool/opera-neon) | 133,006 | 付费 | [对比](https://openaitools.app/zh/compare/aquin-vs-opera-neon) | | [Eigent AI](https://openaitools.app/zh/tool/eigent-ai) | 575,703 | 免费增值，免费试用，定价请咨询 | [对比](https://openaitools.app/zh/compare/aquin-vs-eigent-ai) | | [Grok](https://openaitools.app/zh/tool/grok) | 203,846,050 | 免费增值 | [对比](https://openaitools.app/zh/compare/aquin-vs-grok) | --- 来源：https://openaitools.app/zh/tool/aquin