Scale AI

Scale AI is an AI infrastructure company that provides the data, tools, and evaluation capabilities needed to develop, fine-tune, and improve artificial intelligence models. Founded in 2016, Scale has become one of the primary providers of high-quality labeled data and model evaluation services to some of the world's most advanced AI organizations, including government agencies, leading technology companies, and AI research labs.

The core business of Scale AI is data annotation and labeling, the process of preparing raw data with the structured labels and attributes that machine learning models need for training. Scale provides annotation services for a wide range of data types including images, video, audio, text, 3D point clouds from LiDAR sensors, and map data. Annotation tasks include object detection, semantic segmentation, instance segmentation, optical character recognition, speech transcription, named entity recognition, and many other specialized tasks.

Scale's labeling platform combines human annotators with AI-assisted pre-labeling to deliver high-quality labels at scale. The proprietary quality assurance process uses statistical sampling, consensus validation, and automated quality checks to ensure label accuracy. A managed workforce of trained annotators and a network of data labeling partners provide the human capacity for large annotation projects.

Scale Data Engine is a newer product line focused on enterprise AI development. It provides tools for data management, curation, and insight extraction that help organizations understand and improve their training datasets. The dataset analytics capabilities identify annotation errors, distribution imbalances, and edge cases in training data, enabling systematic data quality improvement.

Scale Evaluation provides model evaluation and red-teaming services, including human evaluation of generative AI outputs for quality, safety, and alignment. As large language models have become central to AI development, Scale has become an important provider of the human judgment data needed to train reward models and improve model behavior through reinforcement learning from human feedback (RLHF).

Donovan is Scale AI's enterprise AI platform built for national security and defense applications. It enables defense organizations to build, deploy, and operate AI applications on classified and unclassified data with the security, compliance, and operational requirements of government environments.

Scale SEAL (Scale Evaluation and Leaderboard) is a benchmarking initiative for evaluating large language model capabilities across different domains and task types, contributing to the broader ecosystem of AI model evaluation.

Scale AI works with customers in autonomous vehicles, robotics, mapping, generative AI, government and defense, and enterprise software, making it a foundational infrastructure provider for the AI industry at large.