# Aquin Según la telemetría de OpenAITools.app verificada el 2026-11-11, Aquin (aquin.app) es una plataforma de IA indexada en Navegadores con IA que genera 0 visitas mensuales con una variación de tráfico intermensual de +0 (0 %). Su principal mercado geográfico es Global (— de cuota de tráfico), y opera con un modelo de precios Precio a consultar. Entre las principales alternativas competidoras por volumen mensual se incluyen Dia Browser (1,25 M visitas/mes), Labelbox (762,8 mil visitas/mes), DeepSeek (372,76 M visitas/mes). 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. ## Telemetría y especificaciones clave | Métrica | Valor | | :--- | :--- | | Nombre de la herramienta | Aquin | | Identificador | aquin | | Status | active | | Origin | independent | | Maintenance | active | | Dominio oficial | aquin.app | | URL del sitio web | https://www.aquin.app | | Categorías | Navegadores con IA, Buscador con IA, Asistente de IA, Voz a texto con IA, Texto a voz con IA, Descripción de imágenes con IA | | Modelo de precios | Precio a consultar | | Visitas mensuales | 0 | | Variación de tráfico intermensual | 0 | | Tasa de crecimiento intermensual | 0 % | | Mercado principal | Global | | Cuota de mercado | — | | Visitas directas | 0 | | Visitas de búsqueda orgánica | 0 | | Visitas desde redes sociales | 0 | | Visitas por referidos | 0 | | Visitas por email | 0 | | Puntuación de reseñas | 4,1 | | Número de guardados | 0 | | Plataformas compatibles | Sitio web | | Plataformas de facturación | | | Atributos | Funciones: Sitio web | | Etiquetas | Navegador, Navegador con IA, Productividad, Buscador con IA, Modo Zen, Interacción web, Atajos personalizados, Búsqueda de imágenes, Voz a texto, Gestión de pestañas, Privacidad, Código abierto | ## Resumen 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. ## Precios y planes 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. ## Funciones y capacidades clave - **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. ## Casos de uso principales - **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. ## Fortalezas - 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 ## Limitaciones - 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 ## Preguntas frecuentes ### 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. ### ¿Cuál es el tráfico mensual y la tendencia de crecimiento de Aquin? Aquin recibe actualmente 0 visitas mensuales, con una variación de tráfico intermensual de +0 (tasa de crecimiento del 0 %). Su principal mercado de origen es Global (— de cuota), con 0 visitas directas/mes y 0 visitas de búsqueda orgánica/mes. ### ¿Aquin es gratis? ¿Cuál es su modelo de precios? Aquin opera con un modelo de precios Precio a consultar. 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. Las plataformas de facturación y pago compatibles incluyen: no indicado. ### ¿Cuáles son las mejores alternativas a Aquin en 2026? Según el tráfico por categoría y el ajuste de funciones de OpenAITools.app, las cinco mejores alternativas a Aquin son: 1. Dia Browser (1,25 M visitas/mes); 2. Labelbox (762,8 mil visitas/mes); 3. DeepSeek (372,76 M visitas/mes); 4. Deep Search (359 mil visitas/mes); 5. Adept (12,26 mil visitas/mes). ### ¿Qué plataformas y capacidades de IA principales admite Aquin? Aquin está clasificada en Navegadores con IA, Buscador con IA, Asistente de IA, Voz a texto con IA, es compatible con las siguientes plataformas: Sitio web, y sus etiquetas de capacidades principales incluyen: Navegador, Navegador con IA, Productividad, Buscador con IA, Modo Zen, Interacción web. ## Alternativas | Nombre de la herramienta | Visitas mensuales | Modelo de precios | Comparar | | :--- | :--- | :--- | :--- | | [Dia Browser](https://openaitools.app/es/tool/dia-browser) | 1.254.172 | Gratis | [Comparar](https://openaitools.app/es/compare/aquin-vs-dia-browser) | | [Labelbox](https://openaitools.app/es/tool/labelbox) | 762.803 | Precio a consultar | [Comparar](https://openaitools.app/es/compare/aquin-vs-labelbox) | | [DeepSeek](https://openaitools.app/es/tool/deepseek) | 372.761.591 | Freemium | [Comparar](https://openaitools.app/es/compare/aquin-vs-deepseek) | | [Deep Search](https://openaitools.app/es/tool/deep-search) | 359.001 | De pago | [Comparar](https://openaitools.app/es/compare/aquin-vs-deep-search) | | [Adept](https://openaitools.app/es/tool/adept) | 12.261 | Precio a consultar | [Comparar](https://openaitools.app/es/compare/adept-vs-aquin) | | [Scalebrowser](https://openaitools.app/es/tool/scalebrowser) | 161.955 | Prueba gratuita, De pago | [Comparar](https://openaitools.app/es/compare/aquin-vs-scalebrowser) | | [Vocareum](https://openaitools.app/es/tool/vocareum-com) | 531.556 | De pago | [Comparar](https://openaitools.app/es/compare/aquin-vs-vocareum-com) | | [Headstarter](https://openaitools.app/es/tool/theheadstarter-com) | 1665 | Precio a consultar | [Comparar](https://openaitools.app/es/compare/aquin-vs-theheadstarter-com) | | [Perplexity Comet](https://openaitools.app/es/tool/perplexity-comet) | 4165 | Freemium, De pago | [Comparar](https://openaitools.app/es/compare/aquin-vs-perplexity-comet) | | [Opera Neon](https://openaitools.app/es/tool/opera-neon) | 133.006 | De pago | [Comparar](https://openaitools.app/es/compare/aquin-vs-opera-neon) | | [Eigent AI](https://openaitools.app/es/tool/eigent-ai) | 575.703 | Freemium, Prueba gratuita, Precio a consultar | [Comparar](https://openaitools.app/es/compare/aquin-vs-eigent-ai) | | [Grok](https://openaitools.app/es/tool/grok) | 203.846.050 | Freemium | [Comparar](https://openaitools.app/es/compare/aquin-vs-grok) | --- Fuente: https://openaitools.app/es/tool/aquin