# Aquin vs Workable

Aquin enregistre 0 visites mensuelles avec une croissance mensuelle de 0 % et un modèle tarifaire Tarifs sur demande. Workable enregistre 10 780 627 visites mensuelles avec une croissance de +5,5 % et un modèle tarifaire Essai gratuit, Payant.

| Métrique | [Aquin](https://openaitools.app/fr/tool/aquin) | [Workable](https://openaitools.app/fr/tool/workable) |
| :--- | :--- | :--- |
| URL du site web | https://www.aquin.app | https://www.workable.com |
| Catégories | Navigateurs IA, Moteur de recherche IA, Assistant IA, Transcription audio IA | Recrutement IA, AI Agent, CRM IA |
| Modèle tarifaire | Tarifs sur demande | Essai gratuit, Payant |
| Visites mensuelles | 0 | 10 780 627 |
| Taux de croissance mensuel | 0 % | +5,5 % |
| Marché principal | Global | États-Unis |
| Visites directes | 0 | 5 309 440 |
| Score d'avis | 4,1 | 4,4 |
| Nombre d'enregistrements | 0 | 0 |
| Plateformes prises en charge | Site web | Site web |

## Aquin

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.

- **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.

**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

[Profile (Markdown)](https://openaitools.app/fr/tool/aquin.md)

## Workable

Workable is an agentic recruiting and HR platform. A native AI agent sources passive candidates from 400M+ profiles, screens every applicant against your job criteria and builds vetted shortlists inside a complete ATS, while onboarding, performance, time off, employee records and reporting run on the same system of record.

**Tarifs et offres:** Free trial available with paid subscription plans; pricing scales by company size and selected modules, with demo and enterprise options. Check the official pricing page for current rates.

- **AI candidate sourcing:** The agent continuously searches 400M+ profiles, identifies strong fits before they apply and sends each a personalised outreach message for every open role.
- **Automated screening and engagement:** Every applicant is scored against up to 14 job criteria with visible reasoning, then messaged directly to confirm interest and close information gaps before reaching a recruiter.
- **Complete ATS underneath:** Requisitions, pipelines, interview kits and scorecards, interview scheduling, offer letters with e-signatures and integrated background checks in one platform.
- **Job ad syndication and careers pages:** Publish jobs to 200+ boards in 100+ countries and build branded career sites with a drag-and-drop editor, plus LinkedIn and Indeed Apply integration.
- **HR platform after the hire:** Onboarding, employee self-service, time off and attendance, performance reviews and engagement tools sit on the same employee data created during hiring.
- **Open platform and integrations:** MCP-native coverage plus a documented REST API with webhooks, 270+ integrations, custom reporting dashboards and a mobile-first employee and candidate experience.

**Forces:** Native AI agent does real sourcing, screening and candidate messaging, not just keyword ranking; Runs on top of a complete ATS rather than being a bolt-on tool with limited context; Hiring context carries through to onboarding and HR, so talent data compounds over time; Open and MCP-native: bring Claude, ChatGPT or your own agents while Workable stays the system of record

**Limites:** Pricing scales with headcount and module selection, so costs grow as you add HR features; Full value depends on adopting both the ATS and HR modules, which is a bigger rollout for small teams; Very feature-rich, so administrators need time to configure workflows, permissions and approvals; Partner job-board and integration advantages vary by region and plan tier

[Profile (Markdown)](https://openaitools.app/fr/tool/workable.md)

## Questions fréquentes

### Comment Aquin et Workable se comparent-ils en termes de trafic mensuel ?

Aquin enregistre 0 visites mensuelles, tandis que Workable enregistre 10 780 627. Les estimations de trafic décrivent la taille de l'audience, pas la qualité du produit.

### Comment leurs taux de croissance se comparent-ils ?

Aquin a un taux de croissance mensuel de 0 % ; Workable a +5,5 %.

### Comment les tarifs se comparent-ils ?

Aquin : 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. Workable : Essai gratuit, Payant. Free trial available with paid subscription plans; pricing scales by company size and selected modules, with demo and enterprise options. Check the official pricing page for current rates.

## Alternatives

| # | Nom de l'outil | Visites mensuelles | Taux de croissance mensuel | Modèle tarifaire | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/fr/tool/deepseek) | 372 761 591 | +4,3 % | Freemium | Une IA de raisonnement open-weight et hébergée à haute efficacité, propulsée par DeepSeek-V4 et R1 à des coûts par token ultra-réduits. | [.md](https://openaitools.app/fr/tool/deepseek.md) |
| 2 | [Grok](https://openaitools.app/fr/tool/grok) | 203 846 050 | -0,8 % | Freemium | L'assistant IA en temps réel et l'espace de travail de développement de xAI, propulsé par Grok 4.7 avec une intégration directe à X. | [.md](https://openaitools.app/fr/tool/grok.md) |
| 3 | [Dia Browser](https://openaitools.app/fr/tool/dia-browser) | 1 254 172 | +108,4 % | Gratuit | Le navigateur IA qui lit entre vos onglets | [.md](https://openaitools.app/fr/tool/dia-browser.md) |
| 4 | [Labelbox](https://openaitools.app/fr/tool/labelbox) | 762 803 | -22,8 % | Tarifs sur demande | Les environnements où s'entraîne l'IA de pointe, et les agents qui font le travail récurrent | [.md](https://openaitools.app/fr/tool/labelbox.md) |
| 5 | [Recruit CRM](https://openaitools.app/fr/tool/recruit-crm) | 729 799 | -7,8 % | Tarifs sur demande | Unifie le suivi des candidats et la gestion des clients avec la prospection IA, mais s'adresse davantage aux recruteurs en agence. | [.md](https://openaitools.app/fr/tool/recruit-crm.md) |
| 6 | [Eigent AI](https://openaitools.app/fr/tool/eigent-ai) | 575 703 | +1,4 % | Freemium, Essai gratuit, Tarifs sur demande | Une force de travail IA de bureau open source pour le navigateur, les fichiers et les apps | [.md](https://openaitools.app/fr/tool/eigent-ai.md) |
| 7 | [Vocareum](https://openaitools.app/fr/tool/vocareum-com) | 531 556 | +5,4 % | Payant | Infrastructure de labs pratiques pour l'enseignement de l'IA, du cloud et des données | [.md](https://openaitools.app/fr/tool/vocareum-com.md) |
| 8 | [Kula AI](https://openaitools.app/fr/tool/kula-ai) | 492 326 | +4,2 % | Payant, Tarifs sur demande | Propose un ATS natif en IA avec sourcing automatisé et CRM, mais présente une courbe d'apprentissage plus raide que Workable. | [.md](https://openaitools.app/fr/tool/kula-ai.md) |
| 9 | [Manatal](https://openaitools.app/fr/tool/manatal) | 459 004 | -1 % | Essai gratuit, Payant | Associe un système de suivi des candidats à une puissante correspondance IA, mais propose moins d'intégration des employés. | [.md](https://openaitools.app/fr/tool/manatal.md) |
| 10 | [Sense](https://openaitools.app/fr/tool/sensehq-com) | 435 090 | -5,8 % | Tarifs sur demande | Automatise l'engagement des candidats grâce à des agents IA, mais se concentre moins sur la gestion de pipeline ATS traditionnelle. | [.md](https://openaitools.app/fr/tool/sensehq-com.md) |

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Source : https://openaitools.app/fr/compare/aquin-vs-workable

More Markdown: [Catégories](https://openaitools.app/fr/categories.md) · [Classements de trafic](https://openaitools.app/fr/rankings.md) · [llms.txt](https://openaitools.app/fr/llms.txt)