# Scale vs SuperAnnotate

Scale registra 616.915 visitas mensais com crescimento de +12,5% mês a mês e preços Preço sob consulta. SuperAnnotate registra 386.034 visitas mensais com crescimento de +37,4% e preços Teste gratuito, Preço sob consulta.

| Métrica | [Scale](https://openaitools.app/pt/tool/scale) | [SuperAnnotate](https://openaitools.app/pt/tool/super-annotate) |
| :--- | :--- | :--- |
| URL do site | https://scale.com | https://www.superannotate.com |
| Categorias | Ferramentas de desenvolvimento com IA, Large Language Models (LLMs), Modelos de IA, AI Agent | AI Workflow, Ferramentas de desenvolvimento com IA, Gestão de projetos com IA |
| Modelo de preços | Preço sob consulta | Teste gratuito, Preço sob consulta |
| Visitas mensais | 616.915 | 386.034 |
| Taxa de crescimento mensal | +12,5% | +37,4% |
| Mercado principal | Estados Unidos | Estados Unidos |
| Visitas diretas | 191.408 | 248.258 |
| Nota de avaliação | 4,7 | 4,6 |
| Contagem de favoritos | 3 | 0 |
| Plataformas suportadas | Site | Site |

## 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.

**Preços e planos:** 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.

**Pontos fortes:** 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.

**Limitações:** 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/pt/tool/scale.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.

**Preços e planos:** 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.

**Pontos fortes:** 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

**Limitações:** 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/pt/tool/super-annotate.md)

## Perguntas frequentes

### Como Scale e SuperAnnotate se comparam em tráfego mensal?

Scale tem 616.915 visitas mensais, enquanto SuperAnnotate tem 386.034. As estimativas de tráfego descrevem o tamanho da audiência, não a qualidade do produto.

### Como as taxas de crescimento se comparam?

Scale tem taxa de crescimento mês a mês de +12,5%; SuperAnnotate tem +37,4%.

### Como os preços se comparam?

Scale: Preço sob consulta. Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity. SuperAnnotate: Teste gratuito, Preço sob consulta. 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.

## Alternativas

| # | Nome da ferramenta | Visitas mensais | Taxa de crescimento mensal | Modelo de preços | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Roboflow](https://openaitools.app/pt/tool/roboflow) | 1.431.204 | +6,6% | Freemium, Preço sob consulta | Otimiza a anotação de conjuntos de dados de visão computacional e o treinamento de modelos, mas é menos adequado para tarefas gerais de texto com LLMs. | [.md](https://openaitools.app/pt/tool/roboflow.md) |
| 2 | [Labelbox](https://openaitools.app/pt/tool/labelbox) | 762.803 | -22,8% | Preço sob consulta | Rotulagem de dados corporativos robusta e automação de agentes, mas com uma interface colaborativa e estrutura de preços distintas. | [.md](https://openaitools.app/pt/tool/labelbox.md) |
| 3 | [Appen](https://openaitools.app/pt/tool/appen-com) | 665.840 | +0,2% | Preço sob consulta | Extensive human-validated training datasets and alignment services, but lacks SuperAnnotate's self-serve software platform flexibility. | [.md](https://openaitools.app/pt/tool/appen-com.md) |
| 4 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/pt/tool/prompts) | 315.624 | -80,2% | Freemium, Preço sob consulta, Grátis | Exceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments. | [.md](https://openaitools.app/pt/tool/prompts.md) |
| 5 | [Arize AI](https://openaitools.app/pt/tool/arize-com) | 249.028 | +3,2% | Pago, Preço sob consulta | Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation. | [.md](https://openaitools.app/pt/tool/arize-com.md) |
| 6 | [Encord](https://openaitools.app/pt/tool/encord-com) | 244.204 | +9,4% | Preço sob consulta | Excelente infraestrutura de dados multimodais para visão computacional, mas carece de algumas ferramentas de gerenciamento de projetos corporativos da SuperAnnotate. | [.md](https://openaitools.app/pt/tool/encord-com.md) |
| 7 | [Defined.ai](https://openaitools.app/pt/tool/definedcrowd-com) | 146.251 | -21% | Preço sob consulta | Strong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling. | [.md](https://openaitools.app/pt/tool/definedcrowd-com.md) |
| 8 | [Label Studio](https://openaitools.app/pt/tool/label-studio) | 137.199 | -16,1% | Preço sob consulta, Grátis | Poderosa rotulagem de dados open-source com profunda personalização, mas exige auto-hospedagem e carece de fluxos de trabalho corporativos gerenciados prontos para uso. | [.md](https://openaitools.app/pt/tool/label-studio.md) |
| 9 | [Future AGI](https://openaitools.app/pt/tool/future-agi) | 121.741 | -7,8% | Freemium, Usage-based | Construa, simule, avalie e monitore agentes de IA que se aperfeiçoam sozinhos | [.md](https://openaitools.app/pt/tool/future-agi.md) |
| 10 | [Maxim AI](https://openaitools.app/pt/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/pt/tool/maxim-ai.md) |

---
Fonte: https://openaitools.app/pt/compare/scale-vs-super-annotate

More Markdown: [Categorias](https://openaitools.app/pt/categories.md) · [Rankings de tráfego](https://openaitools.app/pt/rankings.md) · [llms.txt](https://openaitools.app/pt/llms.txt)