# Scale vs SuperAnnotate

Scale registra 616.915 visitas mensuales con un crecimiento intermensual de +12,5 % y un modelo de precios Precio a consultar. SuperAnnotate registra 386.034 visitas mensuales con un crecimiento de +37,4 % y un modelo de precios Prueba gratuita, Precio a consultar.

| Métrica | [Scale](https://openaitools.app/es/tool/scale) | [SuperAnnotate](https://openaitools.app/es/tool/super-annotate) |
| :--- | :--- | :--- |
| URL del sitio web | https://scale.com | https://www.superannotate.com |
| Categorías | Herramientas de desarrollo con IA, Large Language Models (LLMs), Modelos de IA, AI Agent | AI Workflow, Herramientas de desarrollo con IA, Gestión de proyectos con IA |
| Modelo de precios | Precio a consultar | Prueba gratuita, Precio a consultar |
| Visitas mensuales | 616.915 | 386.034 |
| Tasa de crecimiento intermensual | +12,5 % | +37,4 % |
| Mercado principal | Estados Unidos | Estados Unidos |
| Visitas directas | 191.408 | 248.258 |
| Puntuación de reseñas | 4,7 | 4,6 |
| Número de guardados | 3 | 0 |
| Plataformas compatibles | Sitio web | Sitio web |

## 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.

**Precios y planes:** 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.

**Fortalezas:** 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.

**Limitaciones:** 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/es/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.

**Precios y planes:** 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.

**Fortalezas:** 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

**Limitaciones:** 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/es/tool/super-annotate.md)

## Preguntas frecuentes

### ¿Cómo se comparan Scale y SuperAnnotate en tráfico mensual?

Scale tiene 616.915 visitas mensuales, mientras que SuperAnnotate tiene 386.034. Las estimaciones de tráfico describen el tamaño de la audiencia, no la calidad del producto.

### ¿Cómo se comparan sus tasas de crecimiento?

Scale tiene una tasa de crecimiento intermensual de +12,5 %; SuperAnnotate tiene +37,4 %.

### ¿Cómo se comparan los precios?

Scale: Precio a consultar. 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: Prueba gratuita, Precio a consultar. 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

| # | Nombre de la herramienta | Visitas mensuales | Tasa de crecimiento intermensual | Modelo de precios | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Roboflow](https://openaitools.app/es/tool/roboflow) | 1.431.204 | +6,6 % | Freemium, Precio a consultar | Optimiza la anotación de conjuntos de datos de visión artificial y el entrenamiento de modelos, pero es menos adecuado para tareas generales de texto con LLM. | [.md](https://openaitools.app/es/tool/roboflow.md) |
| 2 | [Labelbox](https://openaitools.app/es/tool/labelbox) | 762.803 | -22,8 % | Precio a consultar | Sólido etiquetado de datos empresariales y automatización de agentes, pero con una interfaz de colaboración y precios distintos. | [.md](https://openaitools.app/es/tool/labelbox.md) |
| 3 | [Appen](https://openaitools.app/es/tool/appen-com) | 665.840 | +0,2 % | Precio a consultar | Extensive human-validated training datasets and alignment services, but lacks SuperAnnotate's self-serve software platform flexibility. | [.md](https://openaitools.app/es/tool/appen-com.md) |
| 4 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/es/tool/prompts) | 315.624 | -80,2 % | Freemium, Precio a consultar, Gratis | Exceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments. | [.md](https://openaitools.app/es/tool/prompts.md) |
| 5 | [Arize AI](https://openaitools.app/es/tool/arize-com) | 249.028 | +3,2 % | De pago, Precio a consultar | Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation. | [.md](https://openaitools.app/es/tool/arize-com.md) |
| 6 | [Encord](https://openaitools.app/es/tool/encord-com) | 244.204 | +9,4 % | Precio a consultar | Excelente infraestructura de datos multimodales para visión por computador, pero carece de algunas herramientas de gestión de proyectos empresariales de SuperAnnotate. | [.md](https://openaitools.app/es/tool/encord-com.md) |
| 7 | [Defined.ai](https://openaitools.app/es/tool/definedcrowd-com) | 146.251 | -21 % | Precio a consultar | Strong enterprise data collection and annotation services, but focuses more on managed datasets than self-serve tooling. | [.md](https://openaitools.app/es/tool/definedcrowd-com.md) |
| 8 | [Label Studio](https://openaitools.app/es/tool/label-studio) | 137.199 | -16,1 % | Precio a consultar, Gratis | Potente etiquetado de datos de código abierto con gran personalización, pero requiere autohospedaje y carece de flujos de trabajo empresariales gestionados listos para usar. | [.md](https://openaitools.app/es/tool/label-studio.md) |
| 9 | [Future AGI](https://openaitools.app/es/tool/future-agi) | 121.741 | -7,8 % | Freemium, Usage-based | Construye, simula, evalúa y monitoriza agentes de IA que se mejoran solos | [.md](https://openaitools.app/es/tool/future-agi.md) |
| 10 | [Maxim AI](https://openaitools.app/es/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/es/tool/maxim-ai.md) |

---
Fuente: https://openaitools.app/es/compare/scale-vs-super-annotate

More Markdown: [Categorías](https://openaitools.app/es/categories.md) · [Clasificaciones de tráfico](https://openaitools.app/es/rankings.md) · [llms.txt](https://openaitools.app/es/llms.txt)