Scale AI is a leading data infrastructure and artificial intelligence company that accelerates the development and deployment of AI applications for enterprises, technology companies, and government agencies. Founded in 2016 and headquartered in San Francisco, Scale’s mission is to enable the creation of the best AI models by providing the highest quality data and tools for model training, evaluation, and deployment. The company’s platform powers nearly every major foundation model and is trusted by organizations across industries to deliver world-class data annotation, curation, and model evaluation services. Scale’s technology supports a broad range of AI use cases, including computer vision, natural language processing, autonomous vehicles, and defense applications, making it a foundational partner for the world’s most ambitious AI teams.
Leadership
Alexandr Wang — Founder & CEO
Founded Scale AI in 2016; previously worked at Quora and Addepar as a software engineer.
Recognized as one of the youngest self-made billionaires and a leading voice in AI infrastructure.
Brooke Peterson — VP of Generative AI Accounts
Background in strategic sales and global accounts, with prior roles at Sama and Skyfii.
Oversees generative AI initiatives and client relationships.
Michael Kratsios — Managing Director
Former U.S. Chief Technology Officer and Under Secretary of Defense.
Brings extensive experience in technology policy, national security, and finance.
Vijay Karunamurthy — Field Chief Technology Officer
Formerly at Apple, YouTube, and ETRADE; co-founded Nom Labs and AVOS Systems.
Leads technological strategy and complex engineering projects.
Dennis Cinelli — Chief Financial Officer
Responsible for financial strategy and operations.
The leadership team combines expertise from high-growth tech, government, and enterprise sectors, driving Scale’s innovation and operational excellence.
Core Technologies
Scale Data Engine: End-to-end platform for data collection, curation, annotation, and model evaluation, powering the world’s most advanced AI models through reinforcement learning from human feedback (RLHF), data generation, safety, and alignment.
Data Labeling: Combines AI-driven techniques with human-in-the-loop processes to deliver high-quality, scalable, and efficient labeled data for images, video, text, and 3D data.
Data Curation: Intelligent dataset management, testing, and comparison tools to maximize the value of labeled data, enabling targeted labeling and efficient use of labeling budgets.
Model Evaluation & SEAL Lab: Safety, Evaluations, and Alignment Lab (SEAL) provides rigorous, expert-driven private evaluations and leaderboards for large language models (LLMs) and generative AI systems, setting industry benchmarks for robustness and safety.
Generative AI Platform: Full-stack platform for enterprises to build, fine-tune, and deploy customized generative AI applications using their own data, supporting integration with leading foundation models (OpenAI, Google, Meta, Cohere, and more).
Scale Donovan: AI-powered decision-making application for defense, enabling rapid planning, analysis, and action based on secure, enterprise data.
Key Capabilities
High-Quality Data Annotation: Supports images, video, text, 3D point clouds, and maps, with a human-in-the-loop approach for 98%+ accuracy.
Scalable Data Processing: Processes millions of data points daily, enabling rapid AI development and deployment at enterprise scale.
Model Training and RLHF: Provides reinforcement learning from human feedback for model alignment and improved performance.
Model Evaluation and Red Teaming: Offers red teaming, bias detection, vulnerability assessment, and continuous monitoring for AI safety and reliability.
Enterprise-Ready Integrations: Seamless integration with enterprise data and workflows, supporting both open and closed-source foundational models.
Pre-Built AI Applications: Ready-to-use solutions for defense, document processing, analytics, and more.
Investors
Total Funding: Over $1.6 billion raised as of May 2024.
Series F: $1 billion (May 2024), led by Accel with participation from Cisco Investments, DFJ Growth, Intel Capital, ServiceNow Ventures, AMD Ventures, WCM, Amazon, Elad Gil, Meta, and others.
Series E: $325 million (August 2023), co-led by Dragoneer, Greenoaks Capital, and Tiger Global.
Previous Rounds: Investors include Y Combinator, Index Ventures, Founders Fund, Coatue, Thrive Capital, Spark Capital, NVIDIA, Tiger Global, Greenoaks, Wellington Management, and more.
Valuation: Nearly $14 billion as of Series F in May 2024.
