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V7 Case Studies

  • Scaling Leading Automotive AI Model Development with End-to-End Data Annotation

    Sameer RainaChief Executive Officer

  • How University of Lincoln Used V7 to Achieve 95% AI Model Accuracy

    Raymond TunstillPhD Researcher
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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.

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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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    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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