# Scale vs Sieve

Scale verzeichnet 616.915 monatliche Besuche mit +12,5 % Wachstum gegenüber dem Vormonat und einem Preismodell „Preise auf Anfrage“. Sieve verzeichnet 124 monatliche Besuche mit +1,6 % Wachstum und einem Preismodell „Preise auf Anfrage“.

| Kennzahl | [Scale](https://openaitools.app/de/tool/scale) | [Sieve](https://openaitools.app/de/tool/sieve) |
| :--- | :--- | :--- |
| Website-URL | https://scale.com | https://www.sieve.ai |
| Kategorien | KI-Entwicklertools, Large Language Models (LLMs), KI-Modelle, AI Agent | AI API, KI-Synchronisation, KI-Videoübersetzer, KI-Videobearbeiter |
| Preismodell | Preise auf Anfrage | Preise auf Anfrage |
| Monatliche Besuche | 616.915 | 124 |
| MoM-Wachstumsrate | +12,5 % | +1,6 % |
| Primärmarkt | Vereinigte Staaten | Global |
| Direkte Besuche | 191.408 | 54 |
| Bewertungsergebnis | 4,7 | 4,1 |
| Anzahl gespeicherter Einträge | 3 | 0 |
| Unterstützte Plattformen | Website | Website |

## 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.

**Preise und Tarife:** 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.

**Stärken:** 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.

**Einschränkungen:** 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/de/tool/scale.md)

## 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.

**Preise und Tarife:** 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.

**Stärken:** 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

**Einschränkungen:** 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/de/tool/sieve.md)

## Häufig gestellte Fragen

### Wie vergleichen sich Scale und Sieve beim monatlichen Traffic?

Scale hat 616.915 monatliche Besuche, während Sieve 124 verzeichnet. Traffic-Schätzungen beschreiben die Publikumsgröße, nicht die Produktqualität.

### Wie vergleichen sich ihre Wachstumsraten?

Scale verzeichnet eine Wachstumsrate von +12,5 % gegenüber dem Vormonat; Sieve verzeichnet +1,6 %.

### Wie vergleichen sich die Preise?

Scale: Preise auf Anfrage. Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity. Sieve: Preise auf Anfrage. 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.

## Alternativen

| # | Tool-Name | Monatliche Besuche | MoM-Wachstumsrate | Preismodell | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Roboflow](https://openaitools.app/de/tool/roboflow) | 1.431.204 | +6,6 % | Freemium, Preise auf Anfrage | Computer Vision für die physische Welt entwickeln, trainieren und bereitstellen | [.md](https://openaitools.app/de/tool/roboflow.md) |
| 2 | [ImageKit](https://openaitools.app/de/tool/imagekit) | 947.721 | -13,7 % | Freemium, Kostenpflichtig, Preise auf Anfrage | Echtzeit-Bild- und Video-APIs, agentisches DAM und Kreativ-Automatisierung in einer Plattform | [.md](https://openaitools.app/de/tool/imagekit.md) |
| 3 | [Labelbox](https://openaitools.app/de/tool/labelbox) | 762.803 | -22,8 % | Preise auf Anfrage | Konzentriert sich stark auf Enterprise-Datenkennzeichnung und die Kuratierung von Trainingsdaten, ähnlich dem Kern-Annotationsgeschäft von Scale. | [.md](https://openaitools.app/de/tool/labelbox.md) |
| 4 | [SuperAnnotate](https://openaitools.app/de/tool/super-annotate) | 386.034 | +37,4 % | Kostenlose Testversion, Preise auf Anfrage | 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 | [.md](https://openaitools.app/de/tool/super-annotate.md) |
| 5 | [AI or Not](https://openaitools.app/de/tool/ai-or-not) | 375.863 | +12,3 % | Freemium, Preise auf Anfrage | Multimodale KI-Erkennungs-API für synthetische Bilder, Text, Audio, Video und Deepfakes | [.md](https://openaitools.app/de/tool/ai-or-not.md) |
| 6 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/de/tool/prompts) | 315.624 | -80,2 % | Freemium, Preise auf Anfrage, Kostenlos | Verfolge, evaluiere und liefere KI-Modelle und Agenten in einer verbundenen Umgebung. | [.md](https://openaitools.app/de/tool/prompts.md) |
| 7 | [Arize AI](https://openaitools.app/de/tool/arize-com) | 249.028 | +3,2 % | Kostenpflichtig, Preise auf Anfrage | Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation. | [.md](https://openaitools.app/de/tool/arize-com.md) |
| 8 | [Encord](https://openaitools.app/de/tool/encord-com) | 244.204 | +9,4 % | Preise auf Anfrage | Die multimodale Datenschicht für Computer-Vision- und Physical-AI-Teams | [.md](https://openaitools.app/de/tool/encord-com.md) |
| 9 | [AI/ML API](https://openaitools.app/de/tool/ai-ml-api) | 232.946 | -20,1 % | Pay-as-you-go credits (free to start); enterprise custom pricing on request | Eine universelle API für über 500 KI-Modelle und 1.000 Agenten-Tools | [.md](https://openaitools.app/de/tool/ai-ml-api.md) |
| 10 | [Memories.ai](https://openaitools.app/de/tool/memories-ai) | 188.127 | -14,6 % | Freemium, Preise auf Anfrage | Video-Dateninfrastruktur für Physical AI und Robotertraining | [.md](https://openaitools.app/de/tool/memories-ai.md) |

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Quelle: https://openaitools.app/de/compare/scale-vs-sieve

More Markdown: [Kategorien](https://openaitools.app/de/categories.md) · [Traffic-Rankings](https://openaitools.app/de/rankings.md) · [llms.txt](https://openaitools.app/de/llms.txt)