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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.
Aquarium Learning helps deep learning teams improve their model performance by improving their datasets. Aquarium Learning wants to give everyone the same world-class ML tooling that big companies already have access to. They want to enable domain experts to build and deploy models without specialized ML expertise, making it easier to build and improve real-world ML products.
Their mission is to help companies accelerate their AI development by providing core data related solutions, significantly reducing the time to market. They enable computer vision and perception teams across the world to effortlessly build and manage ground truth data with their smart annotation tools and fully managed labeling services. Today, Playment forms an essential part of a computer vision engineer's toolkit as a reliable training and validation data bank. They are a small team of young creators and technology enthusiasts with an unsatiable hunger to make things happen faster than expected. Playmentie's believe in the world made super efficient with AI and work hard every single day to make it a reality than merely a hyped science fiction.
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