Algoreus

Algoreus 

Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows

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Enable more people to innovate with ML through a choice of tools—IDEs for data scientists and no-code interface for business analysts.

Enable more people to innovate with ML

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Business analysts 

Make ML predictions using a visual interface with SageMaker Canvas.

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Data scientists

Prepare data and build, train, and deploy models with SageMaker Studio.

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ML engineers

Deploy and manage models at scale with SageMaker MLOps.

Enable more people to innovate with ML through a choice of tools—IDEs for data scientists and no-code interface for business analysts.

Access, label, and process large amounts of structured data (tabular data) and unstructured data (photo, video, and audio) for ML.

Reduce training time from hours to minutes with optimized infrastructure. Boost team productivity up to 10 times with purpose-built tools.

Automate and standardize MLOps practices across your organization to build, train, deploy, and manage models at scale.

A wide breadth and depth of features for the ML lifecycle

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Support for the leading ML frameworks, toolkits, and programming languages

High-performance, low-cost ML at scale

Amazon SageMaker is built on Amazon’s two decades of experience developing real-world ML applications, including product recommendations, personalization, intelligent shopping, robotics, and voice-assisted devices.