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Amazon SageMaker

by Amazon

AI Application
Low Confidence

Amazon SageMaker is a fully managed machine learning (ML) service provided by Amazon Web Services (AWS). It enables developers and data scientists to build, train, deploy, and monitor machine learning models at scale. SageMaker simplifies the ML workflow by providing integrated tools for every step of the process, including data labeling, algorithm selection, model training, tuning, deployment, and monitoring. It supports a wide range of ML frameworks and algorithms, and it can be used for various applications such as predictive analytics, computer vision, natural language processing, and recommendation systems. SageMaker also includes built-in security and compliance features to help manage data privacy and regulatory requirements.

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Transparency Score

Weighted across four pillars · updated January 25, 2026

Overall grade
72% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Model Training
Model Deployment
Data Labeling
Automated Machine Learning
Natural Language Processing
Computer Vision
Predictive Analytics
Recommendation Systems
Anomaly Detection

Vendor Information

Complete information about the vendor/provider of this AI application

AmazonView all products →
Amazon Web Services, Inc.(Trading as: AWS)
Contact Information
aws.amazon.com/
Registered Address
410 Terry Ave N, Seattle, Seattle, Washington, 98109, US

EU AI Act Provider Information

Verification Status:
Verified
Amazon Web Services, Inc.(Trading as: AWS)
410 Terry Ave N, Seattle, Seattle, Washington, 98109, US
Amazon Web Services EMEA SARL
38 avenue John F. Kennedy, LU
Compliance Documents
CE Marking: Not Applicable

Potential Risks

1 considerations identified

1

Review recommended before use

These considerations are automatically identified based on publicly available information about the vendor and AI catalog data. Actual risks may vary based on your specific use case and implementation.

Supply Chain Network

Visual representation of the vendor's digital supply chain relationships

Compliance & Risk

Get insights into risk by running assessments on this AI application.

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Added: January 22, 2026
Updated: January 25, 2026

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