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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.
Sama provides high-quality training data that powers AI technology. The company’s platform is trusted by the world’s most ambitious organizations to develop accurate machine learning models. Used by leading technology companies such as Google, NVIDIA, GM, and Walmart, Sama specializes in image, video, language, and sensor data annotation and validation for machine learning algorithms in industries including manufacturing and robotics, bio and medtech, autonomous vehicles, entertainment, e-commerce, retail, and agriculture.
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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