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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.
Datatron is a FLEXIBLE MLOps platform that helps businesses deploy, catalog, manage, monitor, & govern ML models in production (on-prem, in any cloud, or integrated feature-by-feature via their API). Datatron is entirely vendor, library, and framework agnostic, including AWS, Azure, GCP, SAS, H2O, Python, R, Scikit-Learn, Tensor-Flow, and more. Whether you are just getting started in MLOps, or want to remedy or supplement your homegrown solution, Datatron is the answer. Datatron is Reliable AI™.
Fiddler is a pioneer in Model Performance Management for responsible AI. The Fiddler platform’s unified environment provides a common language, centralized controls, and actionable insights to operationalize ML/AI with trust. Model monitoring, explainable AI, analytics, and fairness capabilities address the unique challenges of building in-house stable and secure MLOps systems at scale. Unlike observability solutions, Fiddler integrates deep XAI and analytics to help you grow into advanced capabilities over time and build a framework for responsible AI practices. Fortune 500 organizations use Fiddler across training and production models to accelerate AI time-to-value and scale, build trusted AI solutions, and increase revenue.
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