Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Early is an innovative AI-powered solution that streamlines the creation and upkeep of unit tests, thereby improving code integrity and speeding up development workflows. It seamlessly integrates with Visual Studio Code (VSCode), empowering developers to generate reliable unit tests directly from their existing codebase, addressing a multitude of scenarios, including both standard and edge cases. This methodology not only enhances code coverage but also aids in detecting potential problems early in the software development lifecycle. Supporting languages such as TypeScript, JavaScript, and Python, Early works effectively with popular testing frameworks like Jest and Mocha. The tool provides users with an intuitive experience, enabling them to swiftly access and adjust generated tests to align with their precise needs. By automating the testing process, Early seeks to minimize the consequences of bugs, avert code regressions, and enhance development speed, ultimately resulting in the delivery of superior software products. Furthermore, its ability to quickly adapt to various programming environments ensures that developers can maintain high standards of quality across multiple projects.
Description
RagaAI stands out as the premier AI testing platform, empowering businesses to minimize risks associated with artificial intelligence while ensuring that their models are both secure and trustworthy. By effectively lowering AI risk exposure in both cloud and edge environments, companies can also manage MLOps expenses more efficiently through smart recommendations. This innovative foundation model is crafted to transform the landscape of AI testing. Users can quickly pinpoint necessary actions to address any dataset or model challenges. Current AI-testing practices often demand significant time investments and hinder productivity during model development, leaving organizations vulnerable to unexpected risks that can lead to subpar performance after deployment, ultimately wasting valuable resources. To combat this, we have developed a comprehensive, end-to-end AI testing platform designed to significantly enhance the AI development process and avert potential inefficiencies and risks after deployment. With over 300 tests available, our platform ensures that every model, data, and operational issue is addressed, thereby speeding up the AI development cycle through thorough testing. This rigorous approach not only saves time but also maximizes the return on investment for businesses navigating the complex AI landscape.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Angular
Cursor
Flow
Google Cloud Platform
Google Colab
JavaScript
Jest
Mocha
NVIDIA DRIVE
Integrations
Amazon Web Services (AWS)
Angular
Cursor
Flow
Google Cloud Platform
Google Colab
JavaScript
Jest
Mocha
NVIDIA DRIVE
Pricing Details
$19 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
EarlyAI
Founded
2023
Country
United States
Website
www.startearly.ai/
Vendor Details
Company Name
RagaAI
Country
United States
Website
raga.ai/
Product Features
Automated Testing
Hierarchical View
Move & Copy
Parameterized Testing
Requirements-Based Testing
Security Testing
Supports Parallel Execution
Test Script Reviews
Unicode Compliance
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing