# Sieve vs SuperAnnotate

Sieve는 월간 방문 124, 전월 대비 성장률 +1.6%, 가격 문의 가격 모델을 기록합니다. SuperAnnotate는 월간 방문 386,034, 성장률 +37.4%, 무료 체험, 가격 문의 가격 모델을 기록합니다.

| 지표 | [Sieve](https://openaitools.app/ko/tool/sieve) | [SuperAnnotate](https://openaitools.app/ko/tool/super-annotate) |
| :--- | :--- | :--- |
| 웹사이트 URL | https://www.sieve.ai | https://www.superannotate.com |
| 카테고리 | AI API, AI 더빙, AI 영상 번역기, AI 영상 편집기 | AI Workflow, AI 개발자 도구, AI 프로젝트 관리 |
| 가격 모델 | 가격 문의 | 무료 체험, 가격 문의 |
| 월간 방문 수 | 124 | 386,034 |
| 전월 대비 성장률 | +1.6% | +37.4% |
| 주요 시장 | 글로벌 | 미국 |
| 직접 방문 | 54 | 248,258 |
| 리뷰 점수 | 4.1 | 4.6 |
| 저장 수 | 0 | 0 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |

## Sieve

Sieve is a data lab that supplies multimodal video, audio and interaction datasets — egocentric demonstrations, multi-camera studio recordings, robotics evaluations and large-scale media — to frontier AI teams.

**가격 및 요금제:** No public price list. Sieve is positioned as a custom engagement led by a "Talk to us" / "Request data" contact flow, so commercial terms are scoped per project, data volume and capture complexity. Earlier self-serve API pricing is no longer published.

- **Egocentric data capture:** First-person recordings of economically valuable physical work, paired with hand-pose, motion and synchronised sensor annotations.
- **Studio and custom rig recordings:** Multi-camera video and audio collection with bespoke rigs and controlled environments built to a client's specification.
- **Robotics evaluations:** Both simulated and real-world test suites that measure how well robot policies perform across tasks and conditions.
- **Large-scale media infrastructure:** Petabyte-scale synchronised video and audio datasets, including published engineering work on embedding a billion videos for retrieval.
- **Real-world reasoning datasets:** Datasets and benchmarks targeting motion, causality and spatial relationships for models that must reason about the physical world.

**강점:** Deep specialisation in hard-to-collect embodied and egocentric data; In-house research and infrastructure proven at billion-video scale; Offers evaluations alongside datasets, not just raw media; Works directly with frontier labs, which signals high data quality standards

**한계:** Pricing is quote-based, so there is no self-serve cost transparency; Most offerings require an engagement rather than instant API signup; Documentation for the older video API suite is no longer reachable at the previous docs domain; Overkill for teams that only need a single simple video-processing endpoint

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

## SuperAnnotate

SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.

**가격 및 요금제:** SuperAnnotate publishes three main tiers: Starter, Pro, and Enterprise. Starter is described as an entry point for small projects, Pro targets scaled AI and MLOps workloads and is sold via a demo request, and Enterprise is quoted through sales for well-established, recurring, high-volume programs. Published plan comparison highlights compute orchestration allowances of roughly 1K compute hours on Starter, 2.5K on Pro, and 10K on Enterprise, with SSO, dedicated Slack channels, a customer success manager, a solutions engineer, and AI DataOps consulting reserved for higher tiers. Exact prices are not listed publicly, so you should contact the vendor for a quote.

- **Customizable multimodal editor:** One configurable annotation surface for image, video, text, and audio projects, so multimodal datasets can be labeled without switching tools.
- **Data curation and exploration:** Search, filter, and inspect datasets to find the examples that will most improve a model, then route them into targeted annotation or review queues.
- **Analytics and insights:** Dashboards for annotation volume, reviewer agreement, and project progress, plus advanced analytics on upper tiers for program-level reporting.
- **Compute orchestration:** Metered orchestration capacity for running annotation, evaluation, and data-processing workloads, scaled by plan from roughly 1K to 10K compute hours.
- **Managed Data Operations:** Optional access to SuperAnnotate's own annotation experts and AI DataOps consultants to run large or specialized data programs end to end.

**강점:** Unified editor removes the need to maintain separate tools per modality; Rich project management and quality analytics suited to large distributed teams; Enterprise-grade governance features such as SSO and dedicated support channels; Managed data-operations services let you outsource complex or high-volume programs

**한계:** No public list price, so budgeting requires a sales conversation; Advanced analytics, SSO, and dedicated support are locked to higher tiers; The breadth of features can be heavy for individuals or very small teams; Compute orchestration capacity is metered and may require planning for large jobs

[Profile (Markdown)](https://openaitools.app/ko/tool/super-annotate.md)

## 자주 묻는 질문

### Sieve과(와) SuperAnnotate의 월간 트래픽은 어떻게 비교되나요?

Sieve의 월간 방문 수는 124이고, SuperAnnotate는 386,034입니다. 트래픽 추정치는 제품 품질이 아니라 사용자 규모를 나타냅니다.

### 두 도구의 성장률은 어떻게 비교되나요?

Sieve의 전월 대비 성장률은 +1.6%이며, SuperAnnotate는 +37.4%입니다.

### 가격은 어떻게 비교되나요?

Sieve: 가격 문의. No public price list. Sieve is positioned as a custom engagement led by a "Talk to us" / "Request data" contact flow, so commercial terms are scoped per project, data volume and capture complexity. Earlier self-serve API pricing is no longer published. SuperAnnotate: 무료 체험, 가격 문의. SuperAnnotate publishes three main tiers: Starter, Pro, and Enterprise. Starter is described as an entry point for small projects, Pro targets scaled AI and MLOps workloads and is sold via a demo request, and Enterprise is quoted through sales for well-established, recurring, high-volume programs. Published plan comparison highlights compute orchestration allowances of roughly 1K compute hours on Starter, 2.5K on Pro, and 10K on Enterprise, with SSO, dedicated Slack channels, a customer success manager, a solutions engineer, and AI DataOps consulting reserved for higher tiers. Exact prices are not listed publicly, so you should contact the vendor for a quote.

## 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 | 물리적 세계를 위한 컴퓨터 비전을 구축하고 학습하고 배포하세요 | [.md](https://openaitools.app/ko/tool/roboflow.md) |
| 2 | [ImageKit](https://openaitools.app/ko/tool/imagekit) | 947,721 | -13.7% | 무료+유료, 유료, 가격 문의 | 실시간 이미지·동영상 API, 에이전트 DAM, 크리에이티브 자동화를 한곳에 | [.md](https://openaitools.app/ko/tool/imagekit.md) |
| 3 | [Labelbox](https://openaitools.app/ko/tool/labelbox) | 762,803 | -22.8% | 가격 문의 | 강력한 엔터프라이즈 데이터 라벨링과 에이전트 자동화를 제공하지만, 협업 인터페이스와 가격 구조가 다릅니다. | [.md](https://openaitools.app/ko/tool/labelbox.md) |
| 4 | [Appen](https://openaitools.app/ko/tool/appen-com) | 665,840 | +0.2% | 가격 문의 | Extensive human-validated training datasets and alignment services, but lacks SuperAnnotate's self-serve software platform flexibility. | [.md](https://openaitools.app/ko/tool/appen-com.md) |
| 5 | [Scale](https://openaitools.app/ko/tool/scale) | 616,915 | +12.5% | 가격 문의 | 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 | [.md](https://openaitools.app/ko/tool/scale.md) |
| 6 | [AI or Not](https://openaitools.app/ko/tool/ai-or-not) | 375,863 | +12.3% | 무료+유료, 가격 문의 | 이미지·텍스트·오디오·영상·딥페이크를 판별하는 멀티모달 AI 탐지 API | [.md](https://openaitools.app/ko/tool/ai-or-not.md) |
| 7 | [Weights & Biases(CoreWeave Forge)](https://openaitools.app/ko/tool/prompts) | 315,624 | -80.2% | 무료+유료, 가격 문의, 무료 | Exceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments. | [.md](https://openaitools.app/ko/tool/prompts.md) |
| 8 | [Encord](https://openaitools.app/ko/tool/encord-com) | 244,204 | +9.4% | 가격 문의 | 컴퓨터 비전을 위한 우수한 멀티모달 데이터 인프라를 갖추고 있으나, SuperAnnotate의 광범위한 엔터프라이즈 프로젝트 관리 도구 일부가 빠져 있습니다. | [.md](https://openaitools.app/ko/tool/encord-com.md) |
| 9 | [AI/ML API](https://openaitools.app/ko/tool/ai-ml-api) | 232,946 | -20.1% | Pay-as-you-go credits (free to start); enterprise custom pricing on request | 500개 이상의 AI 모델과 1,000개 이상의 에이전트 도구를 하나의 API로 | [.md](https://openaitools.app/ko/tool/ai-ml-api.md) |
| 10 | [Memories.ai](https://openaitools.app/ko/tool/memories-ai) | 188,127 | -14.6% | 무료+유료, 가격 문의 | 피지컬 AI와 로봇 학습을 위한 영상 데이터 인프라 | [.md](https://openaitools.app/ko/tool/memories-ai.md) |

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출처: https://openaitools.app/ko/compare/sieve-vs-super-annotate

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)