Scale AI

Profile Overview

Scale AI is a data annotation and artificial intelligence infrastructure company founded in 2016 by Alexandr Wang and Lucy Guo. Based in San Francisco, Scale AI provides the high-quality training data required to build, test, and align machine learning models, serving as a critical foundation for the AI industry. The company developed advanced data annotation pipelines that combine automated machine learning with a global network of human labelers to annotate images, video, text, and 3D sensor data. Scale AI's data services are essential for training autonomous vehicles, powering clients like Tesla, Toyota, and Waymo. With the rise of generative AI, Scale AI pivoted to provide reinforcement learning from human feedback (RLHF) and red-teaming services to major LLM developers, including OpenAI, Anthropic, and Meta. The company has also expanded into enterprise software with Scale Donovan, an AI-powered federal decision-making tool, and Scale GenAI Platform. In May 2024, Scale AI raised a massive $1 billion Series F funding round led by Accel and Tiger Global, bringing its total funding to $1.6 billion at a valuation of $13.8 billion. Scale AI remains the dominant data pipeline provider, essential for training next-generation foundation models.

Flagship Offerings

Vetted AI Models