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V7 Case Studies

  • How InformAI used V7 to build an organ volume estimation model achieving 97% accuracy

  • How Raptor Maps Uses V7 to Reduce Time-to-Model by 83%

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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 References8 total
    About

    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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    Customer References20 total
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    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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