AI Data Labeling refers to the process of annotating raw data - such as text, images, video, or audio - to make it usable for training machine learning models. This segment includes startups offering tools, platforms, and services for manual, automated, and human-in-the-loop labeling, serving industries like autonomous vehicles, healthcare, robotics, and natural language processing. High-quality labeled data is essential for developing accurate and reliable AI systems, making this a foundational layer of the AI stack.