Datatron References Capped?

Access even more references from these marketplace competitors

  • 4.8 / 5.0 (630)
    33+ References
  • 4.8 / 5.0 (1961)
    Premium49+ References
  • 4.8 / 5.0 (588)
    15+ References

Datatron Case Studies

  • currently locked
  • 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.

  • Reference Rating
    4.7 / 5.0
    Customer References49 total
    About

    Labelbox is the simplest platform to train and operate machine intelligence. Labelbox solves the problem of taking artificial intelligence and machine learning initiatives from research and development into production. In addition to working directly with their customers, Labelbox's main product is a platform that makes it easy to create and manage labeled data, enabling rapid deployment of artificial intelligence applications.

  • Reference Rating
    4.7 / 5.0
    Customer References15 total
    About

    WhyLabs was started at the Allen Institute for AI by Amazon Machine Learning alums Alessya Visnjic, Sam Gracie, and Andy Dang, together with Maria Karaivanova, former Cloudflare executive. They are privately-held, venture-funded company based in Seattle. WhyLabs, they have their eyes set on an ambitious goal: to build the interface between humans and AI applications. They are starting with AI Observability. As teams across industries adopt AI, their Platform enables them to operate with certainty by providing model monitoring, preventing costly model failures, and facilitating cross-functional collaboration.