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Datasaur was founded on the premise that building the right tools can further the adoption and democratization of artificial intelligence. Companies both large and small have re-invented the wheel in building their own ad hoc data labeling tools. They strive to combine all the industry’s best practices and create a machine learning platform so their clients can focus on doing what they do best.
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.
iMerit is working with customers to enrich and label their data and to achieve the best results from their algorithms. All the work powers advanced algorithms in machine learning, computer vision, natural language understanding, e-commerce, augmented reality, and data analytics. They work on data for transformative technologies such as advancing cancer cell research, optimizing crop yields, and training driverless cars to understand their environment.
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