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V7 Case Studies

  • How MTC is Using V7 to Build AI for Sorting and Segregating Nuclear Waste

  • How CattleEye Uses V7 to Develop AI Models 10x Faster

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    4.7 / 5.0
    Customer References80 total
    About

    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.

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    4.7 / 5.0
    Customer References16 total
    About

    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.

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    4.7 / 5.0
    Customer References20 total
    About

    super.AI Intelligent Document Processing (IDP) solution leverages the power of Large Language Models (LLMs) to extract data from any document with guaranteed quality. Their platform offers access to the latest AI models and their Data Processing Crowd provides on-demand human-in-the-loop (HITL) review.

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