Scale AI

Scale AI is a data annotation and AI infrastructure platform that provides high-quality training data, reinforcement learning from human feedback (RLHF), model evaluation, and agentic AI deployment solutions for enterprises and government organizations. Founded in 2016 and headquartered in San Francisco, Scale serves over 90% of the world's leading generative AI model builders and has facilitated over 15 billion human decisions to train AI models. The company has paid more than $1 billion to its global network of expert contributors.

Core Products

Scale Data Engine

The Scale Data Engine is a comprehensive platform for collecting, curating, and annotating data across multiple modalities. It supports text annotation including document processing, natural language processing, transcription, and content analysis; image annotation for electro-optical, infrared, and transcription tasks; video annotation for full motion video; and 3D sensor fusion for LiDAR data. Scale employs a global contributor network where 25% of contributors hold advanced degrees, ensuring high-quality labels for machine learning teams. The platform is trusted by leading ML teams at companies including Meta, Pinterest, Square, Instacart, and Cohere to accelerate model development.

Scale GenAI Platform (SGP)

The Scale GenAI Platform provides end-to-end infrastructure for building, deploying, and continuously improving AI agents at enterprise scale. SGP connects to enterprise data sources such as Confluence, SharePoint, and S3; builds and orchestrates long-running asynchronous agent workflows with multi-agent coordination; evaluates model performance through automated scoring and human feedback; and continuously improves agents through a learning flywheel that captures behavioral data and encodes expert judgment. The platform operates across AWS, Azure, and GCP within customer VPCs and supports models from OpenAI, Google, Meta, Mistral, and others without vendor lock-in. Key differentiators include built-in evaluation benchmarking, human-in-the-loop oversight, full audit trails with source-cited outputs, and enterprise compliance governance.

Scale Donovan

Scale Donovan is the company's dedicated platform for defense and national security applications, providing AI solutions tailored to government requirements and security classifications for the U.S. Department of Defense and allied agencies.

Key Capabilities

Scale AI covers the full AI development lifecycle. Data generation and RLHF services enable teams to create complex prompt-response pairs and apply human preferences to model outputs. The red teaming service uses prompt injection techniques to identify vulnerabilities. The evaluation service measures model performance against diverse prompts to surface weak points. For agentic AI, SGP provides infrastructure for long-running async agents, continuous learning from human feedback, and enterprise security frameworks.

Security and Compliance

Scale AI maintains SOC 2 Type II, ISO 27001, DoD IL4 Provisional Authorization, and FedRAMP High Authorization certifications. The platform supports deployment within customer VPCs across major cloud providers, ensuring data sovereignty and compliance with regulatory requirements for healthcare, defense, insurance, and energy sectors.

Customers and Market Position

Scale AI is valued at $29 billion with over 1,000 employees. Its customers include Meta, the U.S. Department of Defense (CDAO), Mayo Clinic, TIME, British Petroleum, Morgan Stanley, Howard Hughes, Cengage, Physical Intelligence, Universal Robots, and the Center for AI Safety. The company is led by CEO Jason Droege.