# Aquin vs Workable

Aquin는 월간 방문 0, 전월 대비 성장률 0%, 가격 문의 가격 모델을 기록합니다. Workable는 월간 방문 10,780,627, 성장률 +5.5%, 무료 체험, 유료 가격 모델을 기록합니다.

| 지표 | [Aquin](https://openaitools.app/ko/tool/aquin) | [Workable](https://openaitools.app/ko/tool/workable) |
| :--- | :--- | :--- |
| 웹사이트 URL | https://www.aquin.app | https://www.workable.com |
| 카테고리 | AI 브라우저, AI 검색 엔진, AI 어시스턴트, AI 음성-텍스트 변환 | AI 채용, AI Agent, AI CRM |
| 가격 모델 | 가격 문의 | 무료 체험, 유료 |
| 월간 방문 수 | 0 | 10,780,627 |
| 전월 대비 성장률 | 0% | +5.5% |
| 주요 시장 | 글로벌 | 미국 |
| 직접 방문 | 0 | 5,309,440 |
| 리뷰 점수 | 4.1 | 4.4 |
| 저장 수 | 0 | 0 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |

## 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.

**가격 및 요금제:** 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.

**강점:** 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

**한계:** 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/ko/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.

**가격 및 요금제:** 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.

**강점:** 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

**한계:** 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/ko/tool/workable.md)

## 자주 묻는 질문

### Aquin과(와) Workable의 월간 트래픽은 어떻게 비교되나요?

Aquin의 월간 방문 수는 0이고, Workable는 10,780,627입니다. 트래픽 추정치는 제품 품질이 아니라 사용자 규모를 나타냅니다.

### 두 도구의 성장률은 어떻게 비교되나요?

Aquin의 전월 대비 성장률은 0%이며, Workable는 +5.5%입니다.

### 가격은 어떻게 비교되나요?

Aquin: 가격 문의. 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: 무료 체험, 유료. 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.

## 대안

| # | 도구 이름 | 월간 방문 수 | 전월 대비 성장률 | 가격 모델 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/ko/tool/deepseek) | 372,761,591 | +4.3% | 무료+유료 | DeepSeek-V4와 R1으로 구동되는, 극히 낮은 토큰 비용의 고효율 오픈웨이트·호스팅 추론 AI. | [.md](https://openaitools.app/ko/tool/deepseek.md) |
| 2 | [Grok](https://openaitools.app/ko/tool/grok) | 203,846,050 | -0.8% | 무료+유료 | 실시간 X 연동을 갖춘, Grok 4.7 기반 xAI의 실시간 AI 어시스턴트 겸 코딩 워크스페이스. | [.md](https://openaitools.app/ko/tool/grok.md) |
| 3 | [Dia 브라우저](https://openaitools.app/ko/tool/dia-browser) | 1,254,172 | +108.4% | 무료 | 탭 사이의 맥락을 읽는 AI 브라우저 | [.md](https://openaitools.app/ko/tool/dia-browser.md) |
| 4 | [Labelbox](https://openaitools.app/ko/tool/labelbox) | 762,803 | -22.8% | 가격 문의 | 최전선 AI가 학습하는 환경, 그리고 반복 업무를 맡는 에이전트 | [.md](https://openaitools.app/ko/tool/labelbox.md) |
| 5 | [Recruit CRM](https://openaitools.app/ko/tool/recruit-crm) | 729,799 | -7.8% | 가격 문의 | 지원자 추적 및 고객 관리를 AI 아웃리치와 통합했지만, 에이전시 리크루터에게 더 특화되어 있습니다. | [.md](https://openaitools.app/ko/tool/recruit-crm.md) |
| 6 | [Eigent AI](https://openaitools.app/ko/tool/eigent-ai) | 575,703 | +1.4% | 무료+유료, 무료 체험, 가격 문의 | 브라우저·파일·앱 작업을 대신하는 오픈소스 데스크톱 AI 워크포스 | [.md](https://openaitools.app/ko/tool/eigent-ai.md) |
| 7 | [Vocareum](https://openaitools.app/ko/tool/vocareum-com) | 531,556 | +5.4% | 유료 | AI·클라우드·데이터 교육을 위한 실습 랩 인프라 | [.md](https://openaitools.app/ko/tool/vocareum-com.md) |
| 8 | [Kula AI](https://openaitools.app/ko/tool/kula-ai) | 492,326 | +4.2% | 유료, 가격 문의 | 자동 소싱과 CRM을 갖춘 AI 네이티브 ATS를 제공하지만, Workable보다 학습 곡선이 더 가파릅니다. | [.md](https://openaitools.app/ko/tool/kula-ai.md) |
| 9 | [Manatal](https://openaitools.app/ko/tool/manatal) | 459,004 | -1% | 무료 체험, 유료 | 지원자 추적 시스템과 강력한 AI 후보자 매칭 기능을 결합했지만, 내장된 직원 온보딩 기능은 상대적으로 적습니다. | [.md](https://openaitools.app/ko/tool/manatal.md) |
| 10 | [Sense](https://openaitools.app/ko/tool/sensehq-com) | 435,090 | -5.8% | 가격 문의 | AI 에이전트를 사용해 후보자 참여와 소통을 자동화하지만, 전통적인 ATS 파이프라인 관리에는 상대적으로 덜 집중합니다. | [.md](https://openaitools.app/ko/tool/sensehq-com.md) |

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출처: https://openaitools.app/ko/compare/aquin-vs-workable

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