Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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