Labelbox is a data labeling and training data platform designed for machine learning and artificial intelligence applications. The company provides software tools that enable organizations to create, manage, and curate high-quality training datasets for AI models, addressing the critical need for labeled data in machine learning workflows.
Founded in 2018 and based in San Francisco, Labelbox has raised significant venture capital funding from notable investors including Andreessen Horowitz, B Capital Group, and Gradient Ventures (Google's AI fund). The platform serves enterprises, AI teams, and data scientists who need to efficiently annotate images, text, video, and other data types for training machine learning models. The company has positioned itself as a key infrastructure provider in the AI development stack, helping organizations scale their data labeling operations and improve model performance.
Labelbox has received investment from 1 venture capital firm.
Data labeling platform providing training data management tools for machine learning and AI model development.
Labelbox has received investment from Array Ventures. These venture capital firms and investors provide both capital and strategic support.
Labelbox operates in the AI sector. Data labeling platform providing training data management tools for machine learning and AI model development.
