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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.
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.
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.
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