Alegion is a technology company that integrates human and machine intelligence to deliver high-accuracy data labeling for machine learning model training, validation, and exception handling. The Alegion platform delivers data solutions spanning the model development lifecycle to help Fortune 500 companies across retail, finance, technology, automotive, defense, agriculture, and healthcare industries accelerate their AI and ML initiatives and increase model confidence. Alegion has the most powerful and flexible annotation platform for training data in the market.
Labelbox is the simplest platform to train and operate machine intelligence. Labelbox solves the problem of taking artificial intelligence and machine learning initiatives from research and development into production. In addition to working directly with their customers, Labelbox's main product is a platform that makes it easy to create and manage labeled data, enabling rapid deployment of artificial intelligence applications.
Snorkel AI started as a research project in the Stanford AI Lab in 2016, where they set out to explore a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying early versions of Snorkel Flow's core technology with some of the world’s leading organizations, to empowering scientists, doctors, and journalists, they’ve seen firsthand how this approach democratizes and accelerates AI. Now, they’re working to bring their technology to everyone.