# Aquin Selon la télémétrie OpenAITools.app vérifiée le 2026-11-11, Aquin (aquin.app) est une plateforme d'IA indexée sous Navigateurs IA générant 0 visites mensuelles avec un delta de trafic mensuel de +0 (0 %). Son marché géographique principal est Global (— de part de trafic), et elle fonctionne selon un modèle tarifaire Tarifs sur demande. Les principales alternatives concurrentes par volume mensuel incluent Dia Browser (1,25 M visites/mois), Labelbox (762,8 k visites/mois), DeepSeek (372,76 M visites/mois). 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. ## Télémétrie et spécifications clés | Métrique | Valeur | | :--- | :--- | | Nom de l'outil | Aquin | | Identifiant | aquin | | Status | active | | Origin | independent | | Maintenance | active | | Domaine officiel | aquin.app | | URL du site web | https://www.aquin.app | | Catégories | Navigateurs IA, Moteur de recherche IA, Assistant IA, Transcription audio IA, Synthèse vocale IA, Description d'images par IA | | Modèle tarifaire | Tarifs sur demande | | Visites mensuelles | 0 | | Variation du trafic mensuel | 0 | | Taux de croissance mensuel | 0 % | | Marché principal | Global | | Part de marché | — | | Visites directes | 0 | | Visites de recherche organique | 0 | | Visites sociales | 0 | | Visites par référencement | 0 | | Visites par e-mail | 0 | | Score d'avis | 4,1 | | Nombre d'enregistrements | 0 | | Plateformes prises en charge | Site web | | Plateformes de facturation | | | Attributs | Fonctionnalités: Site web | | Étiquettes | Navigateur, Navigateur IA, Productivité, Moteur de recherche IA, Mode Zen, Interaction web, Raccourcis personnalisés, Recherche d'images, Reconnaissance vocale, Gestion des onglets, Confidentialité, Open source | ## Aperçu 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. ## Tarifs et offres 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. ## Fonctionnalités clés et capacités - **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. ## Cas d'usage principaux - **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. ## Forces - 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 ## Limites - 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 ## Questions fréquentes ### 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. ### Quel est le trafic mensuel et la tendance de croissance de Aquin ? Aquin reçoit actuellement 0 visites mensuelles, avec une variation de trafic mensuelle de +0 (taux de croissance de 0 %). Son marché source principal est Global (— de part), dont 0 visites directes/mois et 0 visites de recherche organique/mois. ### Aquin est-il gratuit ? Quel est son modèle tarifaire ? Aquin fonctionne selon un modèle tarifaire Tarifs sur demande. 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. Les plateformes de facturation et de paiement prises en charge incluent : non répertorié. ### Quelles sont les meilleures alternatives à Aquin en 2026 ? Sur la base du trafic de catégorie et de l'adéquation des fonctionnalités sur OpenAITools.app, les cinq principales alternatives à Aquin sont : 1. Dia Browser (1,25 M visites/mois); 2. Labelbox (762,8 k visites/mois); 3. DeepSeek (372,76 M visites/mois); 4. Deep Search (359 k visites/mois); 5. Adept (12,26 k visites/mois). ### Quelles plateformes et capacités d'IA principales Aquin prend-il en charge ? Aquin est classé sous Navigateurs IA, Moteur de recherche IA, Assistant IA, Transcription audio IA, prend en charge les plateformes suivantes : Site web, et ses étiquettes de capacités principales incluent : Navigateur, Navigateur IA, Productivité, Moteur de recherche IA, Mode Zen, Interaction web. ## Alternatives | Nom de l'outil | Visites mensuelles | Modèle tarifaire | Comparer | | :--- | :--- | :--- | :--- | | [Dia Browser](https://openaitools.app/fr/tool/dia-browser) | 1 254 172 | Gratuit | [Comparer](https://openaitools.app/fr/compare/aquin-vs-dia-browser) | | [Labelbox](https://openaitools.app/fr/tool/labelbox) | 762 803 | Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/aquin-vs-labelbox) | | [DeepSeek](https://openaitools.app/fr/tool/deepseek) | 372 761 591 | Freemium | [Comparer](https://openaitools.app/fr/compare/aquin-vs-deepseek) | | [Deep Search](https://openaitools.app/fr/tool/deep-search) | 359 001 | Payant | [Comparer](https://openaitools.app/fr/compare/aquin-vs-deep-search) | | [Adept](https://openaitools.app/fr/tool/adept) | 12 261 | Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/adept-vs-aquin) | | [Scalebrowser](https://openaitools.app/fr/tool/scalebrowser) | 161 955 | Essai gratuit, Payant | [Comparer](https://openaitools.app/fr/compare/aquin-vs-scalebrowser) | | [Vocareum](https://openaitools.app/fr/tool/vocareum-com) | 531 556 | Payant | [Comparer](https://openaitools.app/fr/compare/aquin-vs-vocareum-com) | | [Headstarter](https://openaitools.app/fr/tool/theheadstarter-com) | 1 665 | Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/aquin-vs-theheadstarter-com) | | [Perplexity Comet](https://openaitools.app/fr/tool/perplexity-comet) | 4 165 | Freemium, Payant | [Comparer](https://openaitools.app/fr/compare/aquin-vs-perplexity-comet) | | [Opera Neon](https://openaitools.app/fr/tool/opera-neon) | 133 006 | Payant | [Comparer](https://openaitools.app/fr/compare/aquin-vs-opera-neon) | | [Eigent AI](https://openaitools.app/fr/tool/eigent-ai) | 575 703 | Freemium, Essai gratuit, Tarifs sur demande | [Comparer](https://openaitools.app/fr/compare/aquin-vs-eigent-ai) | | [Grok](https://openaitools.app/fr/tool/grok) | 203 846 050 | Freemium | [Comparer](https://openaitools.app/fr/compare/aquin-vs-grok) | --- Source : https://openaitools.app/fr/tool/aquin