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WhyLabs Case Studies

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    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.

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    4.7 / 5.0
    Customer References81 total
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    Neptune.ai is an experiment tracking hub bringing organization and collaboration to data science projects. Neptune records your entire experimentation process - exploratory notebooks, model training runs, code, hyperparameters, metrics, data versions, results, exploration visualizations, and more. Everything is stored and backed-up in an organized knowledge repository, ready to be accessed, analyzed, shared, and discussed with your team. No matter what type of problems you are working on, Neptune fits them all, from evaluating credit risk to finding the nuclei in divergent images.

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    4.7 / 5.0
    Customer References8 total
    About

    Superwise is a model observability platform built for high-scale production ML. The platform is fully automated and automatically configures model metrics and analyzes anomalies to cut through statistical noise, create context, and focus teams on real issues impacting business operations. Giving practitioners fully automated, enterprise-grade model observability capabilities and monitoring customization, but with SaaS self-service control, in 5 minutes.

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