Machine Learning for Startups

Implement machine learning (ML) quickly, easily, and at scale with AWS Machine Learning services.

Accelerate Your ML Journey

We've got your back. We are here to help you find and implement machine learning services that fit your startup needs. Contact us today to speak with an AWS representative to help you get started, answer questions, and accelerate your machine learning journey.

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Featured Guide

Reduce the total cost of machine learning with Amazon SageMaker

Download now to learn how leading companies use Amazon SageMaker to improve efficiency, boost productivity, and lower costs.  

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Featured eBook

Automate Document Processing with Amazon Textract

Download now to learn how to extract structured data from documents with speed, flexibility, and accuracy using Amazon Textract.

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FEATURED TUTORIAL

Build, Train, and Deploy a Machine Learning Model in 7 Steps

In this tutorial, follow the seven steps to learn how to use Amazon SageMaker to build, train, and deploy a machine learning model.

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Explore the Benefits of Machine Learning on AWS

AWS provides ML services for every use case so startups of any size can launch immediately. AWS is among the top rated on Stanford’s 2020 deep learning benchmark, DAWNBench, for the fastest training time, lowest cost, lowest inference latency, and deepest set of security features.
Discover more about ML on AWS »

Low cost

Lower your costs with reliable, scalable services. You only pay for the individual features you need for as long as you use them, without any long-term contracts or complex licensing. 

Powerful performance

Improve team productivity up to 10X using ML collaboration tools and workflows. AWS removes complexity and automates the heavy lifting to manage and monitor ML infrastructure.

Fast to deploy

Deploy ML models with a single click and start generating predictions quickly. ML applications deploy onto auto-scaling instances across multiple availability zones for high redundancy.

Get started with ML on AWS »

Amazon SageMaker

Designed for every type of startup to develop high-quality models that autoscale in production. Amazon SageMaker is a fully managed, modular service that provides the ability to build, train, and deploy machine learning models quickly.

Amazon SageMaker Studio

SageMaker Studio is the first fully integrated development environment for machine learning to build, train, and deploy ML models at scale.

Amazon SageMaker Autopilot

SageMaker Autopilot is the industry's first automated machine learning capability that gives you complete visibility into your ML models.

Amazon SageMaker Ground Truth

SageMaker Ground Truth makes it easy to build highly accurate training datasets for ML using custom or built-in data labeling workflows for 3D point clouds, video, images, and text.

NEW! Amazon SageMaker JumpStart

SageMaker JumpStart provides a set of solutions for common ML use cases and provides one-click deployable ML models and algorithms from populate model zoos.

Explore AWS Machine Learning services »

AI Services

Startups can use pre-trained AWS AI Services to address common business use cases such as forecasting, image and video analysis, or personalized recommendations. Use these AI Services to easily add intelligence to any application without deep expertise in ML. Startups can integrate these capabilities standalone, or in concert to create sophisticated human-like functionality.

Amazon Rekognition

Image and video analysis

Integrate face-based user verification into your applications with a simple-to-use API, and enable identity verification for applications like employee badge scanning, banking or credit applications, and security.
Amazon Rekognition »

Amazon Personalize

Recommendations

Generate a custom recommendation model based on your data in just a few clicks and start serving personalized content, tailored search results, and targeted marketing promotions with a simple API call.
Amazon Personalize »

Amazon Transcribe

Document analysis

Instantly extract text and data from virtually any document without manual effort or custom code. Create smart search indexes, build automated approval workflows, and maintain archival rules. 
Amazon Textract »

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Detect anomalies in metrics

Automatically detect unexpected changes in metrics such as revenue performance and customer retention rates, and identify their root cause.
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Demand forecasting

Build accurate forecasting models based on the same machine learning forecasting technology by Amazon.com
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Fraud prevention

Identify potentially fraudulent online activities based on the same technology used at Amazon.com.
Explore over a dozen AI services »

ML Frameworks

Choose from TensorFlow, PyTorch, Apache MXNet, and other popular frameworks to experiment with and customize machine learning algorithms. Amazon SageMaker has been key for startups looking to accelerate deep learning projects from concept to production.

89% of deep learning

projects in the cloud happen on AWS
Explore DL Amazon Machine Images (AMI) on AWS »

91% of PyTorch

projects in the cloud happen on AWS
Explore PyTorch on AWS »

92% of TensorFlow

projects in the cloud happen on AWS
Explore TensorFlow on AWS »

Machine Learning Startups Building on AWS

Get Started with Amazon SageMaker Today

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