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  • 4.8 / 5.0 (404)
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CloudFactory Testimonials

  • “We have been through a full production cycle of data sent through CloudFactory. We’ve fed that back into our model, trained it, deployed it, and seen much, much better results and model accuracy.”

  • "We had a project manager sampling the accuracy—our accuracy standard was around 90%, and at the end of the day, CloudFactory was able to transcribe the data in a very, very accurate fashion."

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    4.7 / 5.0
    Customer References3 total
    About

    Alegion is a technology company that integrates human and machine intelligence to deliver high-accuracy data labeling for machine learning model training, validation, and exception handling. The Alegion platform delivers data solutions spanning the model development lifecycle to help Fortune 500 companies across retail, finance, technology, automotive, defense, agriculture, and healthcare industries accelerate their AI and ML initiatives and increase model confidence. Alegion has the most powerful and flexible annotation platform for training data in the market.

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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.

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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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