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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?

Amazon SageMaker is a robust platform designed to help developers efficiently build, train, and deploy machine learning models. It unites a wide range of tools in a single, integrated environment that accelerates the creation and deployment of both traditional machine learning models and generative AI applications. SageMaker enables seamless data access from diverse sources like Amazon S3 data lakes, Redshift data warehouses, and third-party databases, while offering secure, real-time data processing. The platform provides specialized features for AI use cases, including generative AI, and tools for model training, fine-tuning, and deployment at scale. It also supports enterprise-level security with fine-grained access controls, ensuring compliance and transparency throughout the AI lifecycle. By offering a unified studio for collaboration, SageMaker improves teamwork and productivity. Its comprehensive approach to governance, data management, and model monitoring gives users full confidence in their AI projects.

Media

No images available

Media

Integrations Supported

Claude Code

Integrations Supported

APERIO DataWise
AWS Deep Learning Containers
Amazon EC2 UltraClusters
Amazon Linux 2
Amazon Redshift
Amazon SageMaker Canvas
Amazon SageMaker Edge
Amazon SageMaker HyperPod
Amazon Web Services (AWS)
Cameralyze
Deeplake
JFrog ML
Micromerce
Mistral Medium 3
Pinecone Rerank v0
Protegrity
Splunk User Behavior Analytics
Superwise
ZenML

API Availability

Has API

API Availability

Has API

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

Try free for two months
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Online Training

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

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/

Categories and Features

AI Decision Models

Not specified

Categories and Features

Agentic AI

Not specified

AI Development

Not specified

AI Fine-Tuning

Not specified

AI Governance

Not specified

AI Infrastructure

Not specified

AI Tools

Not specified

AI/ML Model Training

Not specified

Data Catalog

Not specified

Data Governance

Not specified

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Machine Learning

Not specified

ML Model Deployment

Not specified

ML Model Management

Not specified

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