# Scale vs Width.ai

Scale は月間 616,915 訪問、前月比成長率 +12.5%、料金体系料金は要問い合わせを記録しています。Width.ai は月間 27,714 訪問、成長率 -7.8%、料金体系料金は要問い合わせを記録しています。

| 指標 | [Scale](https://openaitools.app/ja/tool/scale) | [Width.ai](https://openaitools.app/ja/tool/width-ai) |
| :--- | :--- | :--- |
| ウェブサイト URL | https://scale.com | https://width.ai |
| カテゴリ | AI開発者ツール, Large Language Models (LLMs), AIモデル, AI Agent | AIコンサルティング, Large Language Models (LLMs), AIチャットボット, プロンプトエンジニアリング |
| 料金モデル | 料金は要問い合わせ | 料金は要問い合わせ |
| 月間訪問数 | 616,915 | 27,714 |
| 前月比成長率 | +12.5% | -7.8% |
| 主要市場 | アメリカ合衆国 | アメリカ合衆国 |
| ダイレクト訪問 | 191,408 | 8,762 |
| レビュースコア | 4.7 | 4.2 |
| 保存数 | 3 | 1 |
| 対応プラットフォーム | ウェブサイト | ウェブサイト |

## 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.

**料金とプラン:** 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.

**強み:** 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.

**制約・デメリット:** 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/ja/tool/scale.md)

## Width.ai

Width.ai is an AI and machine learning consulting firm that has been building GPT-powered products since 2021. It helps companies design, prototype and ship production ML systems across natural language processing, computer vision, chatbots and business-process automation.

**料金とプラン:** Custom, contact-based pricing. Width.ai does not publish rates; engagements are scoped per project after a discovery conversation. Its /pricing page is password-protected, so quotes come from the team directly.

- **Custom LLM and GPT development:** Design and build of production generative AI features — summarization, topic extraction, extraction and classification — on top of modern large language models.
- **Computer vision and document extraction:** Image recognition, object detection and document parsing pipelines that convert unstructured files and visual data into structured, usable records.
- **AI chatbots:** Conversational assistants wired into a company's own tools and data so they answer with business context instead of generic model output.
- **Business process automation:** Backend automations and agentic systems that remove repetitive manual work for service companies and plug into existing software stacks.
- **Advisory and team coaching:** Working sessions and guidance for engineering and leadership teams who need to evaluate vendors, pick the right architecture or get current on what is buildable.

**強み:** Deep, hands-on experience with LLMs tracing back to 2021, with public case studies and technical writing to back it up; Covers the full stack of AI work — NLP, computer vision, chatbots, automation and advisory — instead of a single narrow niche; Delivery-oriented posture: engagements are framed around shipped software rather than strategy documents; Strong reference base, including testimonials from CEOs, professors and other consultancy clients

**制約・デメリット:** No public pricing and a password-protected pricing page, so budgeting requires a sales conversation first; It is a consultancy, not a self-serve tool — there is no free trial or instant sign-up; Project timelines and outcomes depend heavily on client-side access to data, systems and decision-makers; Public materials lean on case studies and testimonials rather than standardized benchmarks

[Profile (Markdown)](https://openaitools.app/ja/tool/width-ai.md)

## よくある質問

### Scale と Width.ai の月間トラフィックはどのように比較されますか？

Scale の月間訪問数は 616,915、Width.ai は 27,714 です。トラフィックの推定値はオーディエンスの規模を示すものであり、製品の品質を示すものではありません。

### 成長率はどのように比較されますか？

Scale の前月比成長率は +12.5%、Width.ai は -7.8% です。

### 料金はどのように比較されますか？

Scale: 料金は要問い合わせ。Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity. Width.ai: 料金は要問い合わせ。Custom, contact-based pricing. Width.ai does not publish rates; engagements are scoped per project after a discovery conversation. Its /pricing page is password-protected, so quotes come from the team directly.

## 代替ツール

| # | ツール名 | 月間訪問数 | 前月比成長率 | 料金モデル | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Roboflow](https://openaitools.app/ja/tool/roboflow) | 1,431,204 | +6.6% | フリーミアム、料金は要問い合わせ | コンピュータビジョンのデータセットのアノテーションやモデルトレーニングを効率化しますが、一般的なLLMのテキストタスクにはあまり向いていません。 | [.md](https://openaitools.app/ja/tool/roboflow.md) |
| 2 | [Labelbox](https://openaitools.app/ja/tool/labelbox) | 762,803 | -22.8% | 料金は要問い合わせ | Scaleの主要なアノテーション事業と同様に、企業向けのデータラベリングと学習データのキュレーションに特化しています。 | [.md](https://openaitools.app/ja/tool/labelbox.md) |
| 3 | [SuperAnnotate](https://openaitools.app/ja/tool/super-annotate) | 386,034 | +37.4% | 無料トライアル、料金は要問い合わせ | 企業のマルチモーダルアノテーションやデータ管理ツールを提供しますが、管理されたラベリング作業員への比重は低めです。 | [.md](https://openaitools.app/ja/tool/super-annotate.md) |
| 4 | [Weights & Biases（CoreWeave Forge）](https://openaitools.app/ja/tool/prompts) | 315,624 | -80.2% | フリーミアム、料金は要問い合わせ、無料 | 一つの接続環境で AI モデルとエージェントを追跡・評価・出荷。 | [.md](https://openaitools.app/ja/tool/prompts.md) |
| 5 | [Arize AI](https://openaitools.app/ja/tool/arize-com) | 249,028 | +3.2% | 有料、料金は要問い合わせ | Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation. | [.md](https://openaitools.app/ja/tool/arize-com.md) |
| 6 | [Encord](https://openaitools.app/ja/tool/encord-com) | 244,204 | +9.4% | 料金は要問い合わせ | コンピュータービジョンや物理AIのワークロードに特化したデータインフラストラクチャとアノテーションに特化しています。 | [.md](https://openaitools.app/ja/tool/encord-com.md) |
| 7 | [Label Studio](https://openaitools.app/ja/tool/label-studio) | 137,199 | -16.1% | 料金は要問い合わせ、無料 | カスタムデータのラベリングや、人間参加型（ヒューマン・イン・the・ループ）のアノテーションパイプライン向けに、柔軟なオープンソースの代替手段を提供します。 | [.md](https://openaitools.app/ja/tool/label-studio.md) |
| 8 | [Future AGI](https://openaitools.app/ja/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | 自己改善するAIエージェントの構築・シミュレーション・評価・監視 | [.md](https://openaitools.app/ja/tool/future-agi.md) |
| 9 | [Maxim AI](https://openaitools.app/ja/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/ja/tool/maxim-ai.md) |
| 10 | [Prolific](https://openaitools.app/ja/tool/prolific-co) | 77,755 | -24% | 有料 | 管理されたラベリングの代わりに、RLHFやモデル評価スタディのために検証済みの人間参加者と開発者を繋ぎます。 | [.md](https://openaitools.app/ja/tool/prolific-co.md) |

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出典: https://openaitools.app/ja/compare/scale-vs-width-ai

More Markdown: [カテゴリ](https://openaitools.app/ja/categories.md) · [トラフィックランキング](https://openaitools.app/ja/rankings.md) · [llms.txt](https://openaitools.app/ja/llms.txt)