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Scale

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December 29th, 2024

About Scale

Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.

Key Features

4 features
  • Full-stack platform for powering your Generative AI strategy—including fine-tuning, prompt engineering, security, model safety, model evaluation, and enterprise apps.
  • Fine-Tuning and RLHF :Adapt best-in-class foundation models to your business and your specific data to build sustainable, successful AI programs and data from your enterprise.
  • Foundation Models: Scale partners or integrates with all of the leading AI models, from open-source to closed-source, including OpenAI, Anthropic, Google PaLM, Cohere, and more.
  • Enterprise Data: Scale's Data Engine enables you to integrate your enterprise data into the fold of these models, providing the base for long-term strategic differentiation.

Use Cases

6 use cases
  • Content & Language: Data collection, speech and audio processing, natural language processing, content moderation. Various industries with content and language processing needs.
  • Retail & eCommerce: Product data enhancement, onboarding sellers, content understanding, search and discovery improvement. Retail and eCommerce businesses.
  • Logistics: Document processing, damage detection, logistics robotics. Port operators, logistics companies.
  • Robotics: 2D and 3D data annotation, ML-assisted labeling, model evaluation. Robotics, Augmented and Virtual Reality (AR/VR), Content & Language processing.
  • Vt (Virtual Reality/Augmented Reality): High-quality data for AR/VR experiences. AR/VR developers.
  • Defense: Intelligence, surveillance, and reconnaissance, hardware platform modernization, autonomous vehicles. U.S. government, defense and security agencies.
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