AWS Machine Learning Competency Partners

Drive innovation and unlock greater business value with AWS Specialization Partners that have deep technical knowledge and proven customer success

AWS Machine Learning Competency Partners have demonstrated expertise delivering machine learning (ML) solutions on the AWS Cloud. These partners offer a range of services and technologies to help you create intelligent solutions for your business, from enabling data science workflows to enhancing applications with machine intelligence.

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Data processing such as ingestion, consolidation, removal of duplicate records, imputation of missing values, scaling/normalization of values, elimination of correlated features, feature engineering, and others.

No and low-code platforms for machine learning, usually with a predominantly visual interface, that enable end-to-end model development.

High-code solutions, RESTful API, GraphQL, and algorithms that provide access to trained models and components used to train models.

AWS ML Competency Partners have demonstrated expertise in helping organizations solve the most challenging problems in AI, including data engineering, data science, machine and deep learning, and production deployment for inference at scale.

Development, deployment, and maintenance of ML applications that positively impact customer business outcomes and add value on top of AWS services, in particular AWS AI Services, to solve specific customer needs.

Continuous integration and continuous deployment solutions for ML models over the entire data lifecycle including data lake creation, automated data preprocessing across data services, deployment in the cloud, and machine-learning-specific rules and processes for model redeployment.

Connect with AWS Machine Learning Competency Partners

Drive innovation, meet business objectives, and get the most out of your AWS services by partnering with technically validated AWS Partners.

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Additional Resources

Discover more AWS Machine Learning Competency Partner solutions and resources.

  • General Resources
  • Maximizing Your Machine Learning Investment

    Explore AWS Machine Learning Competency Partner eBooks, webinars, customer success stories, and more.

    View the AWS Machine Learning Partner Resources »

    Machine Learning Foundations

    Watch the on-demand webinars and discover how these technologies are essential for digital transformations.

    View AWS Machine Learning Partner Foundations »

  • Success Stories
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    • Financial Services

      Paynela Improves Data Accessibility Using generative AI With the Help of Mission

      United States

      Paynela, a Puerto Rico-based healthcare financing innovator, revolutionized patient financial assistance through cutting-edge solutions powered by AWS Partner Mission. Dedicated to making healthcare more accessible, Paynela helps patients manage their out-of-pocket medical expenses with dignity and ease. By leveraging Amazon Web Services (AWS) and Mission's expertise, Paynela harnessed the power of generative AI to analyze complex healthcare data, resulting in deeper insights and expanded patient support capabilities.

      2025
    • Software & Internet

      NeuralSpace Accelerates AI Model Training Speed by 96% in Migration to AWS with Rebura

      United Kingdom

      NeuralSpace, a London-based AI startup, had the same problem that many startups have: not enough time, not enough money, and too much to do. It needed to develop and train the AI models that powered its language AI applications—automatic translation of text and speech, automated subtitling, and automated AI dubbing of content—but these processes were taking too long. With 20–30 TB of data being used to train each model, it could take 3–6 months to train just one. And the company needed to train multiple models to develop its products. NeuralSpace knew that it needed to find a way to speed up model training that would fit within its limited budget. With the help of AWS Partner Rebura, NeuralSpace migrated to Amazon Web Services (AWS) to enable faster modeling and a crucial pivot in focus.

      2024
    • Manufacturing

      Usiminas, with Enkel’s Support, Reduces R$ 9 Million in Transportation Costs by Optimizing Processes Through AWS Services

      Brazil

      Usiminas, supported by AWS Partner Enkel tackled significant challenges in freight pricing and route optimization within the steel industry. By developing a customized automation platform based on AWS services, the Brazilian steel company streamlined logistics processes, leading to a 14% reduction in costs and significant efficiency gains. The project not only cut delivery distances by 448,000 kilometers but also resulted in a notable decrease in CO2 emissions, avoiding the release of 1,577 metric tons. This project enhances Usiminas' market competitiveness and reinforces its commitment to environmental sustainability, demonstrating the positive impact of innovative solutions in the logistics sector.

      2024
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  • APN TV
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  • eBooks
  • AI Solutions for Financial Services

    Appen’s artificial intelligence (AI) experts explain how to identify and implement successful machine learning and AI initiatives.

    View the eBook »

    Machine Learning Within Reach

    Learn how to connect with Amazon SageMaker to develop, test, and deploy machine models at scale and take advantage of cost-effective, pay-as-you-go pricing.

    View the eBook »

    Weave AI Into Your Business

    Learn how to prepare for, embed, and put AI into production quickly to solve complex business problems.

    View the eBook »

    Mining Your Data Lake for Analytics Insights

    Learn about using Delta Lake on Databricks and AWS to prepare and deliver data that drives valuable analytics insights.

    View the eBook »

  • Blogs
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    • Tyler Replogle, Philip Jones, 02/10/2025
      In today’s digital landscape, federal agencies face unprecedented challenges in securing their complex information technology (IT) infrastructure. Traditional security models require more capability, which is why departments like the Department of Defense (DoD) and the Cybersecurity and Infrastructure Security Agency (CISA) are mandating zero trust architectures across their agencies. Renzo Rodriguez, managing director of US Federal Solutions Architecture at Amazon Web Services (AWS), sat down with Les Call, director of the Department of Defense CIO Zero Trust Portfolio Management Office, in a recent episode of “Mission Innovation, powered by AWS,” to explore the challenges and strategies of implementing zero trust within the DoD. Read this post for a recap of their conversation.
    • Daniel Wirjo, Iman Abbasnejad, Xuefeng Liu, Gordon Campbell, Charles Guan, Hendra Suryanto, 02/10/2025
      The mission of Rich Data Co (RDC) is to broaden access to sustainable credit globally. Its software-as-a-service (SaaS) solution empowers leading banks and lenders with deep customer insights and AI-driven decision-making capabilities. In this post, we discuss how RDC uses generative AI on Amazon Bedrock to build these assistants and accelerate its overall mission of democratizing access to sustainable credit.
    • Surya Kari, Bobby Lindsey, Karan Singh, Pranav Murthy, 02/10/2025
      In this post, we demonstrate how you can deploy an LLM such as DeepSeek-R1—or another FM of your choice—from popular model hubs like SageMaker JumpStart or Hugging Face Hub to SageMaker AI for real-time inference. We explore inference frameworks like Hugging Face TGI which helps streamline deployment while integrating built-in performance optimizations to minimize latency and maximize throughput. Additionally, we showcase how the SageMaker developer-friendly Python SDK simplifies endpoint orchestration, allowing seamless experimentation and scaling of LLM-powered applications.
    • Danilo Poccia, 12/16/2019
      2/10/2025 update: ICD-10-CM link updated, as CDC’s website is being modified to comply with Donald Trump’s Executive Orders. Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights in unstructured text. It is very easy to use, with no machine learning experience required. You can customize Comprehend for your specific [...]
    • Sunil Bemarkar, John Klacynski, Louis Prensky, Philip Kang, 02/10/2025
      AWS and Appian’s collaboration marks a significant advancement in business process automation. By using the power of Amazon Bedrock and Anthropic’s Claude models, Appian empowers enterprises to optimize and automate processes for greater efficiency and effectiveness. This blog post will cover how Appian AI skills build automation into organizations’ mission-critical processes to improve operational excellence, reduce costs, and build scalable solutions.

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