# Dialpad vs Scale

Dialpad는 월간 방문 2,763,687, 전월 대비 성장률 +10.7%, 유료 가격 모델을 기록합니다. Scale는 월간 방문 616,915, 성장률 +12.5%, 가격 문의 가격 모델을 기록합니다.

| 지표 | [Dialpad](https://openaitools.app/ko/tool/dialpad) | [Scale](https://openaitools.app/ko/tool/scale) |
| :--- | :--- | :--- |
| 웹사이트 URL | https://www.dialpad.com | https://scale.com |
| 카테고리 | AI 고객 서비스, AI 세일즈 어시스턴트, AI 콜센터, AI 코칭 | AI 개발자 도구, Large Language Models (LLMs), AI 모델, AI Agent |
| 가격 모델 | 유료 | 가격 문의 |
| 월간 방문 수 | 2,763,687 | 616,915 |
| 전월 대비 성장률 | +10.7% | +12.5% |
| 주요 시장 | 미국 | 미국 |
| 직접 방문 | 1,999,735 | 191,408 |
| 리뷰 점수 | 4.4 | 4.7 |
| 저장 수 | 0 | 3 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |

## Dialpad

Dialpad is an AI-powered customer communications platform that unifies voice, video, messaging, contact center, and agentic AI so teams can resolve customer needs faster with full context.

**가격 및 요금제:** Paid, sales-led pricing. Dialpad does not publish fixed self-serve tiers; costs depend on which products you use (Connect, Support, Sell, Resolve), seat count, and add-ons. A free trial and demo are available upon request.

- **Agentic AI with Dialpad Resolve:** Prebuilt and custom AI agents handle voice and digital support, take action with context, and escalate to humans when judgment is needed.
- **Unified voice, video, and messaging:** One collaboration app brings calls, meetings, and messages together so teams work with full context instead of switching tools.
- **AI contact center and analytics:** Real-time transcription, sentiment analysis, AI scorecards, CSAT, and workforce management help teams understand and improve every conversation.
- **Sales coaching and outbound tools:** Real-time coaching, power dialing, and automated follow-up help sales teams move faster and close more deals.
- **Deep integrations and governance:** Connects with Salesforce, Zendesk, Microsoft Teams, and more, with enterprise controls for building, testing, and governing AI.

**강점:** Combines agentic AI, contact center, sales, and team communications on one platform; Real-time transcription, coaching, and analytics improve both humans and AI over time; Broad integrations with Salesforce, Zendesk, Microsoft Teams, Google, and HubSpot; Scales from small teams to large enterprises with governance controls

**한계:** Pricing is sales-led, so costs are less transparent than self-serve plans; The full value requires adopting multiple products and integrations; Small teams may find the platform broader than they need

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

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

Dialpad의 월간 방문 수는 2,763,687이고, Scale는 616,915입니다. 트래픽 추정치는 제품 품질이 아니라 사용자 규모를 나타냅니다.

### 두 도구의 성장률은 어떻게 비교되나요?

Dialpad의 전월 대비 성장률은 +10.7%이며, Scale는 +12.5%입니다.

### 가격은 어떻게 비교되나요?

Dialpad: 유료. Paid, sales-led pricing. Dialpad does not publish fixed self-serve tiers; costs depend on which products you use (Connect, Support, Sell, Resolve), seat count, and add-ons. A free trial and demo are available upon request. 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 | [JustCall](https://openaitools.app/ko/tool/justcall) | 780,285 | +11.8% | 유료 | 영업 워크플로우와 CRM 연동에 강점이 있지만, Dialpad보다 기본 음성 분석 기능은 다소 약합니다. | [.md](https://openaitools.app/ko/tool/justcall.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [Glassix](https://openaitools.app/ko/tool/glassix) | 300,739 | +6.6% | 무료 체험, 유료, 가격 문의 | 음성과 채팅 전반에 걸쳐 강력한 AI 에이전트 배포 기능을 갖춘 통합 옴니채널 수신함이지만, 사용자 커뮤니티는 비교적 작습니다. | [.md](https://openaitools.app/ko/tool/glassix.md) |
| 7 | [MiiTel](https://openaitools.app/ko/tool/miitel-com) | 276,982 | +10.8% | 무료 체험, 유료 | 영업 담당자를 위한 우수한 대화 채점 및 음성 피치 분석 기능을 제공하지만, 옴니채널 고객 서비스 기능은 다소 제한적입니다. | [.md](https://openaitools.app/ko/tool/miitel-com.md) |
| 8 | [CallHippo](https://openaitools.app/ko/tool/callhippo) | 273,071 | +16.9% | 무료 체험, 유료 | 가상 전화번호가 필요한 소규모 팀에게 설정이 더 간단하지만, Dialpad의 고급 AI 음성 지능 기능은 부족합니다. | [.md](https://openaitools.app/ko/tool/callhippo.md) |
| 9 | [[24]7.ai](https://openaitools.app/ko/tool/247-inc-com) | 273,001 | -4.5% | 가격 문의 | Robust enterprise-grade conversational AI automation, but geared toward massive deployments rather than mid-market teams. | [.md](https://openaitools.app/ko/tool/247-inc-com.md) |
| 10 | [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) |

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출처: https://openaitools.app/ko/compare/dialpad-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)