Fast Label

FastLabel develops an AI-based enterprise-grade data annotation platform that provides multiple annotation solutions including images, videos, rectangles, segmentations, and key points for training machine learning models. The platform offers enterprise-grade data annotation services, dataset management tools, and AI model development support, enabling organizations to efficiently label and manage large-scale training datasets. FastLabel's technology streamlines the data preparation pipeline for AI and ML projects, offering quality control, workflow management, and scalable annotation capabilities for computer vision and natural language processing applications. The company serves enterprises requiring high-quality labeled data for AI model training, with features designed for accuracy, efficiency, and enterprise security. Founded in 2020 and headquartered in Shinagawa, Japan, the company has raised approximately $22M in Series B funding. FastLabel differentiates itself through its comprehensive annotation toolkit, enterprise-grade dataset management, and integrated AI model development support tailored for the Japanese and Asian enterprise AI market.

AI Infrastructure > Enabling Technologies > Software > Training Data