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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.
Appen collects and labels images, text, speech, audio, video, and other data used to build and continuously improve the world’s most innovative artificial intelligence systems. Their expertise includes having a global crowd of over one million skilled contractors who speak over 180 languages and dialects, in over 70,000 locations and 130 countries, and the industry’s most advanced AI-assisted data annotation platform. Their reliable training data gives leaders in technology, automotive, financial services, retail, healthcare, and governments the confidence to deploy world-class AI products. Founded in 1996, Appen has customers and offices globally.
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.
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