Scale

What is Scale

Scale is a comprehensive AI data platform that helps organizations optimize their AI systems. It provides tools for data labeling, curation, model training, and evaluation, all aimed at improving data quality and AI performance. Partnering with leading generative AI companies and public sector agencies, Scale offers tailored solutions for various industries, including autonomous vehicles, government, and enterprise applications, ensuring efficient and effective AI implementation.

Key Features of Scale

- Data Training Models: Scale Data Engine provides high-quality data essential for training AI models.

- Generative AI Support: Offers capabilities for generative AI, including supervised fine-tuning and Reinforcement Learning with Human Feedback (RLHF).

- Government Solutions: Delivers high-quality data solutions tailored for the public sector.

- Automotive AI: Enhances automotive autonomy from Level 2 to Level 5 with specialized data and AI models.

- Scale Donovan: A dedicated platform for government AI applications focused on defense and intelligence.

- GenAI Platform: The only full-stack generative AI platform designed for enterprise use, ensuring data safety and compliance.

- Model Evaluation: Comprehensive evaluation services for AI models, including red teaming and monitoring.

- Enterprise Data Integration: Seamlessly integrates enterprise data into various AI models, supporting strategic differentiation.

- Foundation Model Partnerships: Collaborates with leading AI model providers like OpenAI, Google, Meta, and Cohere.

- Labeling and Curation: Pioneer in combining AI techniques with human-in-the-loop for high-quality, scalable data labeling.

- Curate Valuable Data: Tools for managing and testing datasets to identify the highest value data for labeling.

- Pre-Built AI Applications: Ready-to-use AI applications tailored for complex use cases and powered by customized LLMs.

- AI-Powered Decision-Making: Scale Donovan supports quick decision-making in defense by planning, analyzing, and acting swiftly.

- Customer Success Stories: Showcase successful collaborations with AI leaders like Toyota, Amazon, and the U.S. Government.

- Educational Resources: Provides guides, case studies, and open datasets to help users understand and leverage AI.

- User Feedback Integration: Emphasizes the importance of human feedback for accurate language models.

- Event and Community Engagement: Regularly hosts events and tech talks featuring AI experts discussing future trends and applications.

- Privacy and Security: Commitment to user privacy and data security, featuring detailed cookie and privacy policies.