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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

No User Reviews. Be the first to provide a review:

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Description

Amazon SageMaker enables the identification of various types of unprocessed data, including images, text documents, and videos, while also allowing for the addition of meaningful labels and the generation of synthetic data to develop high-quality training datasets for machine learning applications. The platform provides two distinct options, namely Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth, which grant users the capability to either leverage a professional workforce to oversee and execute data labeling workflows or independently manage their own labeling processes. For those seeking greater autonomy in crafting and handling their personal data labeling workflows, SageMaker Ground Truth serves as an effective solution. This service simplifies the data labeling process and offers flexibility by enabling the use of human annotators through Amazon Mechanical Turk, external vendors, or even your own in-house team, thereby accommodating various project needs and preferences. Ultimately, SageMaker's comprehensive approach to data annotation helps streamline the development of machine learning models, making it an invaluable tool for data scientists and organizations alike.

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 SageMaker Unified Studio Yes 
Claude Code No 
Cursor No 
ZenML Yes 

Integrations

Amazon SageMaker No 
Amazon SageMaker Unified Studio No 
Claude Code Yes 
Cursor Yes 
ZenML No 

Pricing Details

$0.08 per month
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) No 
Online Support Yes 

Customer Support

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

Types of Training

Training Docs Yes 
Webinars No 
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 Web Services

Founded

2006

Country

United States

Website

aws.amazon.com/es/sagemaker/data-labeling/

Vendor Details

Company Name

Levanto Labs

Founded

2026

Country

United States

Website

levanto.ai/model

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation No 
Labeling Quality No 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration No 
Training Data Management No 

Product Features

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