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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Description

Amazon SageMaker equips users with an extensive suite of tools and libraries essential for developing machine learning models, emphasizing an iterative approach to experimenting with various algorithms and assessing their performance to identify the optimal solution for specific needs. Within SageMaker, you can select from a diverse range of algorithms, including more than 15 that are specifically designed and enhanced for the platform, as well as access over 150 pre-existing models from well-known model repositories with just a few clicks. Additionally, SageMaker includes a wide array of model-building resources, such as Amazon SageMaker Studio Notebooks and RStudio, which allow you to execute machine learning models on a smaller scale to evaluate outcomes and generate performance reports, facilitating the creation of high-quality prototypes. The integration of Amazon SageMaker Studio Notebooks accelerates the model development process and fosters collaboration among team members. These notebooks offer one-click access to Jupyter environments, enabling you to begin working almost immediately, and they also feature functionality for easy sharing of your work with others. Furthermore, the platform's overall design encourages continuous improvement and innovation in machine learning projects.

Description

Sage2 is a cloud-based AI model and API tailored for developers who are creating software agents and automating workflows. It processes structured task instructions and generates decisions or information in formats that machines can easily interpret, enabling applications to assign tasks like classification, routing, evaluation, and data extraction to a model specifically designed for tool-utilizing agents. Developers have the option to interact with Sage through its API, examine model functionality via browser demos, and integrate it into their agent development environments, such as Cursor and Claude Code. The service features a pricing structure for API usage that includes a free tier alongside various paid monthly plans, with usage fees and included credits differing based on the selected plan. Sage is primarily targeted at individual developers and software teams seeking to enhance their applications with decision-making and extraction functionalities without the need to manage the model independently. This flexibility allows for streamlined integration into existing workflows, making it an appealing choice for those looking to leverage AI capabilities effectively.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon SageMaker Yes 
Amazon Web Services (AWS) Yes 
Claude Code No 
Cursor No 
Docker Yes 
GitHub Yes 
Google Cloud AutoML Yes 
Jupyter Notebook Yes 
MXNet Yes 
PyTorch Yes 
Python Yes 
R Yes 
R Markdown Yes 
TensorFlow Yes 

Integrations

Amazon SageMaker No 
Amazon Web Services (AWS) No 
Claude Code Yes 
Cursor Yes 
Docker No 
GitHub No 
Google Cloud AutoML No 
Jupyter Notebook No 
MXNet No 
PyTorch No 
Python No 
R No 
R Markdown No 
TensorFlow No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0
The Free plan costs $0/month and includes $0.20 in usage. The Developer plan costs $14/month and includes $14 in usage. Additional usage is charged by token and web-search rates shown on the pricing page.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/sagemaker/build/

Vendor Details

Company Name

Levanto Labs

Founded

2026

Country

United States

Website

levanto.ai/model

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

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