# Openlayer vs Scale

Openlayer는 월간 방문 48,415, 전월 대비 성장률 -6.4%, 무료+유료, 가격 문의 가격 모델을 기록합니다. Scale는 월간 방문 616,915, 성장률 +12.5%, 가격 문의 가격 모델을 기록합니다.

| 지표 | [Openlayer](https://openaitools.app/ko/tool/openlayer) | [Scale](https://openaitools.app/ko/tool/scale) |
| :--- | :--- | :--- |
| 웹사이트 URL | https://www.openlayer.com | https://scale.com |
| 카테고리 | AI 테스팅, AI 모니터링, Large Language Models (LLMs), AI 개발자 도구 | AI 개발자 도구, Large Language Models (LLMs), AI 모델, AI Agent |
| 가격 모델 | 무료+유료, 가격 문의 | 가격 문의 |
| 월간 방문 수 | 48,415 | 616,915 |
| 전월 대비 성장률 | -6.4% | +12.5% |
| 주요 시장 | 미국 | 미국 |
| 직접 방문 | 25,940 | 191,408 |
| 리뷰 점수 | 4.4 | 4.7 |
| 저장 수 | 1 | 3 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |

## Openlayer

Openlayer is a platform that tests AI systems before release, monitors them in production, and enforces policy and compliance requirements across every model and agent your company runs.

**가격 및 요금제:** Openlayer offers a free Basic plan covering one member, five projects, 20,000 monthly requests, three months of data retention, the AI test library, CI/CD integration, observability, alerting, and community support. The Enterprise plan is custom-quoted and adds unlimited members and projects, role-based access control, SAML SSO, explainability, data annotation, custom retention, on-premise deployment, compliance reporting, a 99.99% SLA, and white-glove onboarding.

- **AI test library and custom evals:** Dozens of pre-built evaluations cover quality, safety, security, and performance, with LLM-as-a-judge scorers, session-level metrics, and support for writing your own custom tests against your own data.
- **CI/CD regression testing:** Import a repository and run evaluation suites automatically on every change, benchmark each iteration, and block releases when a metric regresses beyond the threshold you define.
- **Observability, tracing, and cost analytics:** Trace every request through multi-step agent workflows, including tool calls and retriever steps, with token counts, latency, cost per request, alerting integrations, and subpopulation analysis.
- **Governance registry and lifecycle gates:** Register each AI system with an owner, purpose, data sensitivity, and risk tier, score inherent risk across multiple dimensions, and move systems through staged approval gates before they reach production.
- **Compliance mapping and audit evidence:** Built-in frameworks such as the EU AI Act and NIST AI RMF turn policy into tracked rules, so you can see progress per project and export the evidence regulators and auditors ask for.

**강점:** Covers the full loop from pre-release testing to production monitoring and governance in one platform; Strong compliance and risk-mapping capability built for regulated industries; Generous free Basic plan makes evaluation tooling accessible to small teams; CI/CD integration lets quality gates block releases automatically

**한계:** Enterprise pricing is custom-quoted, so costs are not transparent up front; Compliance reporting and the deepest governance features sit behind the Enterprise plan; The breadth of layers can be a lot to adopt at once for teams that only need basic evals; Small free plan limits (one member, five projects) make it a try-it tier rather than a team plan

[Profile (Markdown)](https://openaitools.app/ko/tool/openlayer.md)

## Scale

Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.

**가격 및 요금제:** Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

- **Data Engine:** Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
- **Model evaluation & benchmarks:** Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
- **Enterprise AI applications:** Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
- **Agentic deployment:** Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
- **Domain expertise:** Programmes spanning healthcare, robotics, defence, public sector and enterprise with human oversight built in.

**강점:** Backed by a long track record in training data and model evaluation.; End-to-end coverage from data sourcing through to deployed systems.; Experienced with regulated, classified and safety-critical environments.; Benchmarks and leaderboards give an independent view of model capability.

**한계:** No public pricing or self-serve signup - you need a sales conversation to get started.; Enterprise-scale contracting and data operations require real internal commitment.; Overkill for small teams with modest data or evaluation needs.; Some projects involve sensitive government and defence work with strict compliance overhead.

[Profile (Markdown)](https://openaitools.app/ko/tool/scale.md)

## 자주 묻는 질문

### Openlayer과(와) Scale의 월간 트래픽은 어떻게 비교되나요?

Openlayer의 월간 방문 수는 48,415이고, Scale는 616,915입니다. 트래픽 추정치는 제품 품질이 아니라 사용자 규모를 나타냅니다.

### 두 도구의 성장률은 어떻게 비교되나요?

Openlayer의 전월 대비 성장률은 -6.4%이며, Scale는 +12.5%입니다.

### 가격은 어떻게 비교되나요?

Openlayer: 무료+유료, 가격 문의. Openlayer offers a free Basic plan covering one member, five projects, 20,000 monthly requests, three months of data retention, the AI test library, CI/CD integration, observability, alerting, and community support. The Enterprise plan is custom-quoted and adds unlimited members and projects, role-based access control, SAML SSO, explainability, data annotation, custom retention, on-premise deployment, compliance reporting, a 99.99% SLA, and white-glove onboarding. Scale: 가격 문의. Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

## 대안

| # | 도구 이름 | 월간 방문 수 | 전월 대비 성장률 | 가격 모델 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Roboflow](https://openaitools.app/ko/tool/roboflow) | 1,431,204 | +6.6% | 무료+유료, 가격 문의 | 컴퓨터 비전 데이터셋 어노테이션 및 모델 학습을 간소화하지만, 일반적인 LLM 텍스트 작업에는 덜 적합합니다. | [.md](https://openaitools.app/ko/tool/roboflow.md) |
| 2 | [Labelbox](https://openaitools.app/ko/tool/labelbox) | 762,803 | -22.8% | 가격 문의 | Scale의 핵심 어노테이션 사업과 비슷하게 기업용 데이터 라벨링 및 학습 데이터 큐레이션에 집중합니다. | [.md](https://openaitools.app/ko/tool/labelbox.md) |
| 3 | [SuperAnnotate](https://openaitools.app/ko/tool/super-annotate) | 386,034 | +37.4% | 무료 체험, 가격 문의 | 기업용 멀티모달 어노테이션 및 데이터 관리 도구를 제공하지만, 관리형 라벨링 인력에 대한 비중은 상대적으로 낮습니다. | [.md](https://openaitools.app/ko/tool/super-annotate.md) |
| 4 | [Weights & Biases(CoreWeave Forge)](https://openaitools.app/ko/tool/prompts) | 315,624 | -80.2% | 무료+유료, 가격 문의, 무료 | 하나의 연결 환경에서 AI 모델과 에이전트를 추적·평가·배포하세요. | [.md](https://openaitools.app/ko/tool/prompts.md) |
| 5 | [Arize AI](https://openaitools.app/ko/tool/arize-com) | 249,028 | +3.2% | 유료, 가격 문의 | Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation. | [.md](https://openaitools.app/ko/tool/arize-com.md) |
| 6 | [Encord](https://openaitools.app/ko/tool/encord-com) | 244,204 | +9.4% | 가격 문의 | 컴퓨터 비전 및 물리적 AI 워크로드에 특화된 데이터 인프라와 어노테이션을 전문으로 다룹니다. | [.md](https://openaitools.app/ko/tool/encord-com.md) |
| 7 | [Mindgard](https://openaitools.app/ko/tool/mindgard) | 153,455 | +1.3% | 가격 문의 | 공격 주도의 AI 보안 테스트와 레드팀 | [.md](https://openaitools.app/ko/tool/mindgard.md) |
| 8 | [Label Studio](https://openaitools.app/ko/tool/label-studio) | 137,199 | -16.1% | 가격 문의, 무료 | 맞춤형 데이터 라벨링 및 인간 참여형(Human-in-the-loop) 어노테이션 파이프라인을 위한 유연한 오픈소스 대안을 제공합니다. | [.md](https://openaitools.app/ko/tool/label-studio.md) |
| 9 | [Future AGI](https://openaitools.app/ko/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | 스스로 개선되는 AI 에이전트를 구축·시뮬레이션·평가·모니터링 | [.md](https://openaitools.app/ko/tool/future-agi.md) |
| 10 | [Maxim AI](https://openaitools.app/ko/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services. | [.md](https://openaitools.app/ko/tool/maxim-ai.md) |

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출처: https://openaitools.app/ko/compare/openlayer-vs-scale

More Markdown: [카테고리](https://openaitools.app/ko/categories.md) · [트래픽 순위](https://openaitools.app/ko/rankings.md) · [llms.txt](https://openaitools.app/ko/llms.txt)