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What is Sage2?

Sage2 is an AI model and API hosted in the cloud, specifically designed for developers focused on building software agents and automating various workflows. It interprets structured task instructions to produce decisions or data outputs that machines can easily understand, which allows applications to delegate tasks such as classification, routing, evaluation, and data extraction to a model optimized for tool-utilizing agents. Developers can engage with Sage through its API, explore its capabilities using browser-based demos, and incorporate it into their development environments like Cursor and Claude Code. The service offers a flexible pricing model for API access, featuring a free tier as well as several paid monthly plans, with the costs and included credits varying according to the chosen option. Primarily aimed at individual developers and software teams, Sage enables them to enhance their applications with sophisticated decision-making and data extraction features without the burden of independently managing the underlying model. This adaptability ensures that it can seamlessly fit into existing workflows, making it an attractive solution for those eager to harness the power of AI effectively. Additionally, Sage2's user-friendly interface and comprehensive support resources further enhance its appeal for developers at all skill levels.

What is Amazon SageMaker JumpStart?

Amazon SageMaker JumpStart acts as a versatile center for machine learning (ML), designed to expedite your ML projects effectively. The platform provides users with a selection of various built-in algorithms and pretrained models from model hubs, as well as foundational models that aid in processes like summarizing articles and creating images. It also features preconstructed solutions tailored for common use cases, enhancing usability. Additionally, users have the capability to share ML artifacts, such as models and notebooks, within their organizations, which simplifies the development and deployment of ML models. With an impressive collection of hundreds of built-in algorithms and pretrained models from credible sources like TensorFlow Hub, PyTorch Hub, HuggingFace, and MxNet GluonCV, SageMaker JumpStart offers a wealth of resources. The platform further supports the implementation of these algorithms through the SageMaker Python SDK, making it more accessible for developers. Covering a variety of essential ML tasks, the built-in algorithms cater to the classification of images, text, and tabular data, along with sentiment analysis, providing a comprehensive toolkit for professionals in the field of machine learning. This extensive range of capabilities ensures that users can tackle diverse challenges effectively.

Media

No images available

Media

Integrations Supported

Claude Code
Cursor

Integrations Supported

Amazon SageMaker
Amazon SageMaker Unified Studio
Amazon Web Services (AWS)

API Availability

Has API

API Availability

Pricing Information

$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 Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Levanto Labs

Date Founded

2026

Company Location

United States

Company Website

levanto.ai/model

Company Facts

Organization Name

Amazon

Date Founded

2006

Company Location

United States

Company Website

aws.amazon.com/sagemaker/jumpstart/

Categories and Features

AI Decision Models

Not specified

Categories and Features

AI Infrastructure

Not specified

Data Classification

Not specified

Machine Learning

Not specified

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