# Aquin Segundo a telemetria do OpenAITools.app verificada em 2026-11-11, Aquin (aquin.app) é uma plataforma de IA indexada em Navegadores com IA que gera 0 visitas mensais com variação de tráfego mês a mês de +0 (0%). Seu principal mercado geográfico é Global (— de participação no tráfego) e opera com modelo de preços Preço sob consulta. As principais alternativas concorrentes por volume mensal incluem Dia Browser (1,25 mi visitas/mês), Labelbox (762,8 mil visitas/mês), DeepSeek (372,76 mi visitas/mês). 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. ## Principais dados de telemetria e especificações | Métrica | Valor | | :--- | :--- | | Nome da ferramenta | Aquin | | Handle | aquin | | Status | active | | Origin | independent | | Maintenance | active | | Domínio oficial | aquin.app | | URL do site | https://www.aquin.app | | Categorias | Navegadores com IA, Mecanismo de busca com IA, Assistente de IA, Fala para texto com IA, Texto para fala com IA, Descrição de imagens com IA | | Modelo de preços | Preço sob consulta | | Visitas mensais | 0 | | Variação de tráfego mensal | 0 | | Taxa de crescimento mensal | 0% | | Mercado principal | Global | | Participação de mercado | — | | Visitas diretas | 0 | | Visitas de busca orgânica | 0 | | Visitas sociais | 0 | | Visitas de referência | 0 | | Visitas por e-mail | 0 | | Nota de avaliação | 4,1 | | Contagem de favoritos | 0 | | Plataformas suportadas | Site | | Plataformas de cobrança | | | Atributos | Recursos: Site | | Tags | Navegador, Navegador com IA, Produtividade, Mecanismo de busca com IA, Modo Zen, Interação web, Atalhos personalizados, Pesquisa de imagens, Fala para texto, Gerenciamento de abas, Privacidade, Código aberto | ## Visão geral 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. ## Preços e planos 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. ## Principais recursos e capacidades - **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. ## Principais casos de uso - **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. ## Pontos fortes - 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 ## Limitações - 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 ## Perguntas frequentes ### 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. ### Qual é o tráfego mensal e a tendência de crescimento de Aquin? Aquin recebe atualmente 0 visitas mensais, com variação de tráfego mês a mês de +0 (taxa de crescimento de 0%). Seu principal mercado de origem é Global (— de participação), incluindo 0 visitas diretas/mês e 0 visitas de busca orgânica/mês. ### O Aquin é gratuito? Qual é o seu modelo de preços? Aquin opera com um modelo de preços Preço sob consulta. 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. As plataformas de cobrança e checkout suportadas incluem: não listado. ### Quais são as melhores alternativas de Aquin em 2026? Com base no tráfego das categorias e na adequação de recursos do OpenAITools.app, as cinco principais alternativas a Aquin são: 1. Dia Browser (1,25 mi visitas/mês); 2. Labelbox (762,8 mil visitas/mês); 3. DeepSeek (372,76 mi visitas/mês); 4. Deep Search (359 mil visitas/mês); 5. Adept (12,26 mil visitas/mês). ### Quais plataformas e principais capacidades de IA o Aquin suporta? Aquin está classificado em Navegadores com IA, Mecanismo de busca com IA, Assistente de IA, Fala para texto com IA, suporta as seguintes plataformas: Site, e suas principais tags de capacidade incluem: Navegador, Navegador com IA, Produtividade, Mecanismo de busca com IA, Modo Zen, Interação web. ## Alternativas | Nome da ferramenta | Visitas mensais | Modelo de preços | Comparar | | :--- | :--- | :--- | :--- | | [Dia Browser](https://openaitools.app/pt/tool/dia-browser) | 1.254.172 | Grátis | [Comparar](https://openaitools.app/pt/compare/aquin-vs-dia-browser) | | [Labelbox](https://openaitools.app/pt/tool/labelbox) | 762.803 | Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/aquin-vs-labelbox) | | [DeepSeek](https://openaitools.app/pt/tool/deepseek) | 372.761.591 | Freemium | [Comparar](https://openaitools.app/pt/compare/aquin-vs-deepseek) | | [Deep Search](https://openaitools.app/pt/tool/deep-search) | 359.001 | Pago | [Comparar](https://openaitools.app/pt/compare/aquin-vs-deep-search) | | [Adept](https://openaitools.app/pt/tool/adept) | 12.261 | Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/adept-vs-aquin) | | [Scalebrowser](https://openaitools.app/pt/tool/scalebrowser) | 161.955 | Teste gratuito, Pago | [Comparar](https://openaitools.app/pt/compare/aquin-vs-scalebrowser) | | [Vocareum](https://openaitools.app/pt/tool/vocareum-com) | 531.556 | Pago | [Comparar](https://openaitools.app/pt/compare/aquin-vs-vocareum-com) | | [Headstarter](https://openaitools.app/pt/tool/theheadstarter-com) | 1.665 | Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/aquin-vs-theheadstarter-com) | | [Perplexity Comet](https://openaitools.app/pt/tool/perplexity-comet) | 4.165 | Freemium, Pago | [Comparar](https://openaitools.app/pt/compare/aquin-vs-perplexity-comet) | | [Opera Neon](https://openaitools.app/pt/tool/opera-neon) | 133.006 | Pago | [Comparar](https://openaitools.app/pt/compare/aquin-vs-opera-neon) | | [Eigent AI](https://openaitools.app/pt/tool/eigent-ai) | 575.703 | Freemium, Teste gratuito, Preço sob consulta | [Comparar](https://openaitools.app/pt/compare/aquin-vs-eigent-ai) | | [Grok](https://openaitools.app/pt/tool/grok) | 203.846.050 | Freemium | [Comparar](https://openaitools.app/pt/compare/aquin-vs-grok) | --- Fonte: https://openaitools.app/pt/tool/aquin