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WhyLabs Testimonials

  • “At Stitch Fix we have hundreds of workflows that connect to production microservices all driven and deployed by Algorithms team members. Observability is essential to ensure that these services are robust and deliver consistent customer experiences. We are excited to collaborate with WhyLabs on building an open source standard for data logging that helps us streamline observability across our data and AI pipelines, be it offline or online.”

    Stefan KrawczykManager of Model Lifecycle

  • “ML engineers need better tools to ensure high-quality data through all stages of an ML project's lifecycle. AI Fund is excited to support WhyLabs, whose open source logging library and AI observability platform makes it easy for developers to maintain real time logs and monitor ML deployments.”

    Andrew NgManaging General Partner
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    Aporia is a full-stack and highly customizable ML observability platform that powers data science and ML engineering teams to monitor, debug, explain and improve their machine learning models and data. Aporia is the ML Observability platform, trusted by Fortune 500 enterprises – including Bosch, Munich RE, & Sixt – and industry leaders to visualize, monitor, and ensure ML models are performing at their best, always.

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    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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    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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