# Aquin vs Workable

Aquin verzeichnet 0 monatliche Besuche mit 0 % Wachstum gegenüber dem Vormonat und einem Preismodell „Preise auf Anfrage“. Workable verzeichnet 10.780.627 monatliche Besuche mit +5,5 % Wachstum und einem Preismodell „Kostenlose Testversion, Kostenpflichtig“.

| Kennzahl | [Aquin](https://openaitools.app/de/tool/aquin) | [Workable](https://openaitools.app/de/tool/workable) |
| :--- | :--- | :--- |
| Website-URL | https://www.aquin.app | https://www.workable.com |
| Kategorien | KI-Browser, KI-Suchmaschine, KI-Assistent, KI-Sprache-zu-Text | KI-Recruiting, AI Agent, KI-CRM |
| Preismodell | Preise auf Anfrage | Kostenlose Testversion, Kostenpflichtig |
| Monatliche Besuche | 0 | 10.780.627 |
| MoM-Wachstumsrate | 0 % | +5,5 % |
| Primärmarkt | Global | Vereinigte Staaten |
| Direkte Besuche | 0 | 5.309.440 |
| Bewertungsergebnis | 4,1 | 4,4 |
| Anzahl gespeicherter Einträge | 0 | 0 |
| Unterstützte Plattformen | Website | Website |

## 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.

**Preise und Tarife:** 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.

**Stärken:** 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

**Einschränkungen:** 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/de/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.

**Preise und Tarife:** 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.

**Stärken:** 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

**Einschränkungen:** 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/de/tool/workable.md)

## Häufig gestellte Fragen

### Wie vergleichen sich Aquin und Workable beim monatlichen Traffic?

Aquin hat 0 monatliche Besuche, während Workable 10.780.627 verzeichnet. Traffic-Schätzungen beschreiben die Publikumsgröße, nicht die Produktqualität.

### Wie vergleichen sich ihre Wachstumsraten?

Aquin verzeichnet eine Wachstumsrate von 0 % gegenüber dem Vormonat; Workable verzeichnet +5,5 %.

### Wie vergleichen sich die Preise?

Aquin: Preise auf Anfrage. 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: Kostenlose Testversion, Kostenpflichtig. 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.

## Alternativen

| # | Tool-Name | Monatliche Besuche | MoM-Wachstumsrate | Preismodell | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/de/tool/deepseek) | 372.761.591 | +4,3 % | Freemium | Hocheffiziente Open-Weight- und gehostete Reasoning-KI auf Basis von DeepSeek-V4 und R1 zu extrem niedrigen Token-Kosten. | [.md](https://openaitools.app/de/tool/deepseek.md) |
| 2 | [Grok](https://openaitools.app/de/tool/grok) | 203.846.050 | -0,8 % | Freemium | xAIs Echtzeit-KI-Assistent und Coding-Arbeitsbereich auf Basis von Grok 4.7 mit Live-Integration in X. | [.md](https://openaitools.app/de/tool/grok.md) |
| 3 | [Dia Browser](https://openaitools.app/de/tool/dia-browser) | 1.254.172 | +108,4 % | Kostenlos | Der KI-Browser, der zwischen den Tabs mitliest | [.md](https://openaitools.app/de/tool/dia-browser.md) |
| 4 | [Labelbox](https://openaitools.app/de/tool/labelbox) | 762.803 | -22,8 % | Preise auf Anfrage | Die Umgebungen, auf denen Frontier-KI trainiert — und die Agenten für die Routinearbeit | [.md](https://openaitools.app/de/tool/labelbox.md) |
| 5 | [Recruit CRM](https://openaitools.app/de/tool/recruit-crm) | 729.799 | -7,8 % | Preise auf Anfrage | Vereint Bewerber- und Kundenmanagement mit KI-Outreach, ist aber stärker auf Agentur-Recruiter zugeschnitten. | [.md](https://openaitools.app/de/tool/recruit-crm.md) |
| 6 | [Eigent AI](https://openaitools.app/de/tool/eigent-ai) | 575.703 | +1,4 % | Freemium, Kostenlose Testversion, Preise auf Anfrage | Open-Source-Desktop-KI-Belegschaft für Browser-, Datei- und App-Aufgaben | [.md](https://openaitools.app/de/tool/eigent-ai.md) |
| 7 | [Vocareum](https://openaitools.app/de/tool/vocareum-com) | 531.556 | +5,4 % | Kostenpflichtig | Laborinfrastruktur für Hands-on-Bildung in KI, Cloud und Daten | [.md](https://openaitools.app/de/tool/vocareum-com.md) |
| 8 | [Kula AI](https://openaitools.app/de/tool/kula-ai) | 492.326 | +4,2 % | Kostenpflichtig, Preise auf Anfrage | Bietet ein KI-natives ATS mit automatisiertem Sourcing und CRM, hat aber eine steilere Lernkurve als Workable. | [.md](https://openaitools.app/de/tool/kula-ai.md) |
| 9 | [Manatal](https://openaitools.app/de/tool/manatal) | 459.004 | -1 % | Kostenlose Testversion, Kostenpflichtig | Kombiniert ein Bewerbermanagementsystem mit starkem KI-Kandidatenabgleich, bietet aber weniger integriertes Onboarding für Mitarbeiter. | [.md](https://openaitools.app/de/tool/manatal.md) |
| 10 | [Sense](https://openaitools.app/de/tool/sensehq-com) | 435.090 | -5,8 % | Preise auf Anfrage | Automatisiert das Kandidatenengagement mit KI-Agenten, konzentriert sich aber weniger auf traditionelles ATS-Pipeline-Management. | [.md](https://openaitools.app/de/tool/sensehq-com.md) |

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Quelle: https://openaitools.app/de/compare/aquin-vs-workable

More Markdown: [Kategorien](https://openaitools.app/de/categories.md) · [Traffic-Rankings](https://openaitools.app/de/rankings.md) · [llms.txt](https://openaitools.app/de/llms.txt)