Amazon SageMakerAmazon
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Perception PlatformIntuition Machines
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Related Products
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About
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers.
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About
The Perception Platform by Intuition Machines automates the entire lifecycle of machine learning models—from training to deployment and continuous improvement. Featuring advanced active learning, the platform enables models to evolve by learning from new data and human interaction, enhancing accuracy while reducing manual oversight. Robust APIs facilitate seamless integration with existing systems, making it scalable and easy to adopt across diverse AI/ML applications.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Machine learning engineers, data scientists, and organizations seeking to develop, deploy, and scale AI solutions efficiently and securely
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Audience
AI and machine learning engineers, data scientists, and organizations seeking a scalable, automated platform to streamline and enhance the entire lifecycle of ML model development and deployment
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and VideosNo images available
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PricingTry free for two months
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Not Supported
Webinars
Not Supported
Live Online
Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/sagemaker/
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Company InformationIntuition Machines
United States
www.imachines.com/perception-platform
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Alternatives |
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Categories |
Categories |
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Data Labeling Features
Human-in-the-loop
Supported
Labeling Automation
Supported
Labeling Quality
Supported
Performance Tracking
Supported
Polygon, Rectangle, Line, Point
Supported
SDK
Supported
Supports Audio Files
Supported
Task Management
Supported
Team Collaboration
Supported
Training Data Management
Supported
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Integrations
APERIO DataWise
Supported
AWS App Mesh
Supported
AWS Clean Rooms
Supported
AWS IAM Identity Center
Supported
Akira AI
Supported
Amazon EC2 UltraClusters
Supported
Amazon FSx for Lustre
Supported
Amazon Redshift
Supported
Amazon SageMaker Data Wrangler
Supported
Amazon SageMaker Ground Truth
Supported
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Integrations
APERIO DataWise
Not Supported
AWS App Mesh
Not Supported
AWS Clean Rooms
Not Supported
AWS IAM Identity Center
Not Supported
Akira AI
Not Supported
Amazon EC2 UltraClusters
Not Supported
Amazon FSx for Lustre
Not Supported
Amazon Redshift
Not Supported
Amazon SageMaker Data Wrangler
Not Supported
Amazon SageMaker Ground Truth
Not Supported
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