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About Scale

Scale is an AI data platform that provides labeling, curation, and evaluation to help enterprises build and deploy models. It supports multimodal data annotation, dataset management, and fine-tuning with RLHF, plus pre-built generative AI applications. Integrations with leading model providers and compliance standards support enterprise adoption. Safety and alignment tools and compliance standards support enterprise governance. Key capabilities: Scalable data labeling across data types Dataset curation and management tools Model evaluation, RLHF, and fine-tuning support Pre-built generative AI applications Integrations with major model providers Best for: Enterprises building production-grade AI and LLM systems.

Scale Details

Vendor
Scale AI, Inc.
Year Launched
2016
Location
303 2nd St, South Tower, 5th FL, San Francisco, California 94107, US
Deployment
cloud
Training Options
documentation
Countries Served
All Countries
Languages
English
Users
Large Enterprises, Generative AI Companies, U.S. Government Agencies, Defense and Public Sector Organizations, Automotive Industry Leaders
Industries Served
Generative AI Companies, U.S. Government Agencies, Enterprises, Automotive (e.g., General Motors, Toyota), Defense and Public Sector
Tags
Artificial Intelligence, Scale

Scale's In-App Market Place

Does Scale have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CNY (¥), CHF (CHF), SEK (kr), INR (₹), MXN (Mex$)

Pros & Cons

  • High-Quality Data Labeling: Combines AI techniques with human-in-the-loop for superior data quality.
  • Scalability: Capable of handling large-scale data integration and processing.
  • Strong Partnerships: Collaborates with leading AI companies and government agencies.
  • Comprehensive Feature Set: Offers a wide range of tools for data management, labeling, and AI model enhancement.
  • Compliance: Certified compliant with industry standards like FedRAMP, ISO, and AICPA-SOC.
  • Pricing Transparency: Lack of publicly available pricing information may hinder decision-making.
  • Limited Language Support Information: Unclear if multi-language support is available.
  • Integration Limits: While many integrations exist, specifics on ease of integration are not detailed.
  • Customization Constraints: Potential limitations in customizing features beyond provided tools.-.

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