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  • 4.8 / 5.0 (764)
    33+ References
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    44+ References
  • 4.8 / 5.0 (575)
    20+ References

V7 Testimonials

  • "I like the auto-segmentation feature. To me, that’s a nice AI feature that V7 took beyond the gimmick feature - it’s mature enough to be useful."

  • "V7 did everything that we wanted—it enabled us to label videos in the way we needed, the turnaround time for new features was really fast, and the reviewing and sorting process was much better."

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  • Reference Rating
    4.7 / 5.0
    Customer References33 total
    About

    Encord is the active learning platform for computer vision. Encord provides one AI-assisted platform to annotate, orchestrate collaborative labeling and quality control workflows, find & fix errors in your training data, and train & diagnose models to deliver value from your AI initiatives faster.

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    4.7 / 5.0
    Customer References44 total
    About

    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.

  • Reference Rating
    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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