

Scale AI: Training Data & Evaluation for AI Models
Scale AI powers cutting-edge AI development with high-quality training data, model evaluation, and full-stack generative AI infrastructure for enterprises and government.
Overview
Scale AI is a comprehensive data and infrastructure platform built to accelerate the development, fine-tuning, and evaluation of AI systems across industries. From autonomous vehicles and robotics to AR/VR and generative AI, Scale provides the high-quality labeled data and human feedback loops that modern machine learning models depend on to perform reliably in the real world. Its core offering, the Scale Data Engine, streamlines data management and annotation, while services like RLHF and supervised fine-tuning help teams push model performance further.
Beyond raw data, Scale AI extends into full application stacks with the Scale GenAI Platform for building and deploying generative AI solutions, and Scale Donovan, a mission-critical decision-support tool tailored for defense and other high-stakes environments. The platform also addresses one of the industry's biggest challenges—trust and safety—through rigorous model evaluation and red teaming, including its SEAL Leaderboards for benchmarking model robustness. With deep partnerships across major AI labs and dedicated solutions for the public sector and automotive industries, Scale AI positions itself as critical infrastructure for organizations serious about deploying AI at scale.
Capabilities & Features
- AI training data
- Data labeling
- Generative AI
- Model evaluation
- RLHF
- AI safety
- Foundation models
- Enterprise AI
- Data Engine
- LLM evaluation
Core Features
- High-quality, human-curated training data for AI models
- Scale Data Engine for large-scale data management and labeling
- Scale GenAI Platform for full-stack generative AI development
- Scale Donovan for AI-powered, mission-critical decision-making
- Model evaluation and red teaming via SEAL Leaderboards
- RLHF and supervised fine-tuning for improved model alignment
Use Cases
- Training self-driving car perception systems with precisely labeled data
- Building and deploying generative AI applications on a unified platform
- Fine-tuning large language models using RLHF for better alignment
- Benchmarking AI model safety and robustness through independent evaluation
- Integrating proprietary enterprise data into foundation models for competitive advantage
Best For
- AI/ML Engineers
- Data Scientists
- Generative AI Developers
- Government and Defense Agencies
- Automotive Companies
- Enterprises adopting AI at scale
Pros
- •Covers the full AI lifecycle from data labeling to model evaluation
- •Trusted by leading AI labs, suggesting strong data quality standards
- •Specialized solutions for high-stakes sectors like defense and automotive
- •Supports advanced techniques like RLHF and red teaming for model safety
- •Flexible product suite spanning data infrastructure and generative AI deployment
Cons
- •No public pricing, making cost planning difficult without direct contact
- •Enterprise-focused offerings may be overkill for small teams or individual developers
- •Requires sales engagement rather than self-service onboarding
- •Complex product suite may need guidance to determine the right fit
How to Use
Start by identifying which Scale AI offering fits your needs: the Scale Data Engine for labeling and managing training data, the Scale GenAI Platform for building generative AI applications, or Scale Donovan for AI-driven decision-making in mission-critical settings. From there, reach out to Scale AI's team to request a demo or consultation tailored to your use case—whether that's fine-tuning models with RLHF, evaluating model safety through SEAL Leaderboards, or integrating proprietary enterprise data into foundation models. Most engagements begin with a direct conversation with Scale AI's sales or solutions team rather than self-serve signup.
Frequently Asked Questions
Pricing
Scale AI does not publish pricing publicly; interested organizations must contact the sales team directly to receive a custom quote based on their specific use case and scale.
Pricing data is provided as a summary. Visit the vendor website for full tier details.