Open-source data science, enterprise AI, one governed cloud

Backed by a Strategic Collaboration Agreement, Posit and AWS deliver the enterprise platform for R and Python data science on scalable, secure cloud infrastructure. Develop in your preferred IDE on SageMaker, deploy AI-powered applications with Bedrock, and govern packages and environments - all available on the AWS Marketplace.

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Cloud-native data science solutions.

  • Develop faster with elastic cloud compute

    Launch pre-configured IDE sessions on dynamic EC2 instances via SageMaker easily. Independent sessions ensure heavy ML training doesn't impact others. Workbench-managed credentials integrate with IAM Roles, eliminating manual setup.

    Posit and Amazon Bedrock
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  • Build AI-powered applications with Bedrock

    Posit Connect integrates with Amazon Bedrock, allowing data scientists to deploy AI-powered analytics dashboards using R and Python. Positron also connects to Bedrock for context-aware AI coding assistance. Build and deploy production-grade AI applications without leaving your workflow.

    Posit on AWS
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  • Reduce cost and consolidate governance

    Pay only for the compute your team uses; elastic scaling eliminates the waste of always-on on-premises servers. Purchase Posit Team via AWS Marketplace, drawing down existing committed spend. Posit Package Manager integrates with IAM, supports air-gapped environments, OIDC-based SSO, and reproducible date-based snapshots for regulated industries.

    Posit and Amazon Sagemaker
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  • The powerful combination of AWS cloud capabilities and Posit’s integrated analytics workbench has accelerated our product delivery lifecycle, transforming our office from a conventional reporting function into an agile, AI-driven analytics innovation hub.

    David Meza

    Head of Analytics and OCHCO/Branch Chief, People Analytics, NASA

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  • The best innovation happens when scientists can follow their curiosity without infrastructure constraints. Posit Workbench gave us the ability to have RStudio on a highly scalable service of AWS SageMaker without the hassle of architecture management.

    Dr. Varun Dwaraka PhD

    Director of Research, TruDiagnostic

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See Posit and AWS in action

Figure 1. Positron Integrated Development Environment (IDE) on Amazon SageMaker Studio.

Run Positron on Amazon SageMaker AI for data science workflows

Data science teams often move among separate tools for governed data access, R analysis, Python model development, deployment, application development, and reporting.