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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    • Parker Bradshaw, 02/26/2025
      Pattern is a leader in ecommerce acceleration, helping brands navigate the complexities of selling on marketplaces and achieve profitable growth through a combination of proprietary technology and on-demand expertise. In this post, we share how Pattern uses AWS services to process trillions of data points to deliver actionable insights, optimizing product listings across multiple services.
    • Nishant Singh, Aditya Pendyala, Aravind Narasimhan, Karthigeyan Ramakrishnan, 02/26/2025
      Generative artificial intelligence (AI) has the potential to transform how large companies do business. For enterprises, corporate information is often stored in silos managed by different teams. By combining large language models (LLMs) with robust knowledge bases, these organizations can create intelligent systems that not only store information but understand it—making company knowledge more accessible [...]
    • Niithiyn Vijeaswaran, Avan Bala, Banu Nagasundaram, Shane Rai, Preston Tuggle, 02/24/2025
      We’re excited to announce that Mistral-Small-24B-Instruct-2501—a twenty-four billion parameter large language model (LLM) from Mistral AI that’s optimized for low latency text generation tasks—is available for customers through Amazon SageMaker JumpStart and Amazon Bedrock Marketplace. In this post, we walk through how to discover, deploy, and use Mistral-Small-24B-Instruct-2501.
    • Hrushikesh Gangur, Prashant Patel, Sai Darahas Akkineni, 02/26/2025
      In this guide, we walk you through step-by-step instructions for configuring cross-account access for Amazon Bedrock Custom Model Import, covering both non-encrypted and AWS Key Management Service (AWS KMS) based encrypted scenarios.
    • Wangpeng An, Haotian Zhang, Kairong Sun, Jianying Lang, Nachuan Yang, Tian Shi, Xiaojie Ding, Mike Zhang, Zheng Zhang, 02/26/2025
      At ByteDance, we collaborated with Amazon Web Services (AWS) to deploy multimodal large language models (LLMs) for video understanding using AWS Inferentia2 across multiple AWS Regions around the world. By using sophisticated ML algorithms, the platform efficiently scans billions of videos each day. In this post, we discuss the use of multimodal LLMs for video understanding, the solution architecture, and techniques for performance optimization.

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