Scale

Scale offers training data for a range of AI tasks like autonomous vehicles, mapping, AR/VR and robotics. It offers data products for businesses in many industries, helping them to build AI models that are more accurate and reliable.

The company offers a variety of products for different use cases:

• Scale Data Engine: Using corporate data to improve model performance, improving data quality and usability.
• For Generative AI: Fine-tuning and reinforcement learning from human feedback (RLHF) to adapt foundation models to business needs.
• For Government: High-quality data for public sector, including defense and federal agencies.
• For Automotive: Unlock L2 to L5 autonomy in the automotive industry.
• Scale Donovan: AI-powered decision-making for defense applications.
• Scale GenAI Platform: Full-stack generative AI platform for enterprise applications.

Scale has partnerships with industry players like OpenAI, Microsoft, Toyota, Brex, Flexport and OpenSea, offering data products to help them advance their AI work. The company also has experience in data labeling, offering labeled data through a combination of AI and human-in-the-loop processes.

Among Scale's selling points are:

• Data Quality: High-quality data from domain experts to improve model performance.
• Cost Effectiveness: Data labeling and curation that's optimized for cost.
• Scalability: Projects can range from small experiments to large-scale production.
• Diversity: Multiple data sets to improve model performance.

With high-quality training data, Scale can help companies build AI models that are more powerful and better able to handle complex tasks. That's why it's a good fit for companies trying to bring AI into their business.

Published on June 14, 2024