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    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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    Toloka is a crowdsourcing data labeling platform used by hi-tech businesses to quickly label large amounts of data. Designed by engineers for engineers, Toloka accelerates data labeling processes by integrating an on-demand workforce and ensuring full control of quality with intelligent tools and research-based crowd science methodologies. With millions of crowd performers available across every time zone and operations in over 100 countries, Toloka is one of the largest crowdsourcing platforms and partners with major technology companies globally.

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    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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