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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.
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.
Understand.ai believe that AI is the most powerful tool generation has hand. understand.ai, make deep learning accessible for real-world applications like self-driving cars. By introducing the automation engine for data annotation, commit to deliver the right data the right quality and the right quantity to customers. Designed by AI-natives, Zero-Touch Annotations technology enables its users to cut costs and accelerate the training and testing of assisted & autonomous driving technology.
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