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What is Roost.ai?

Roost.ai is a cutting-edge software testing solution that leverages generative AI alongside leading large language models like GPT-4, Gemini, Claude, and Llama3 to automate the generation of unit and API test cases, ensuring thorough test coverage. The platform seamlessly integrates with widely-used DevOps tools such as GitHub, GitLab, Bitbucket, Azure DevOps, Terraform, and CloudFormation, providing automated updates to tests in response to code changes and pull requests. It supports a range of programming languages, including Java, Go, Python, Node.js, and C#, and is also capable of producing tests for various frameworks such as JUnit, TestNG, pytest, and Go's standard testing package. Furthermore, Roost.ai offers the ability to create temporary test environments on demand, facilitating acceptance testing and reducing the time and resources required for quality assurance. By automating tedious testing tasks and enhancing overall test coverage, Roost.ai empowers development teams to focus on innovation while accelerating their release cycles, ultimately boosting productivity and efficiency in software development. This forward-thinking testing methodology not only optimizes workflows but also plays a significant role in delivering higher-quality software products. As a result, organizations can enjoy greater confidence in their software's reliability and performance.

What is Klarent?

Klarent is an innovative platform that leverages artificial intelligence to facilitate thorough quality assurance testing for web and mobile applications. By simply expressing your testing needs in clear language, Klarent's sophisticated AI capabilities autonomously create, execute, and manage your end-to-end tests, eliminating the necessity for any coding or scripting expertise. In addition, whenever there are modifications to your user interface or core logic, the tests adapt automatically, significantly minimizing the chances of unreliable tests and reducing the burden of manual maintenance. Klarent operates efficiently across multiple browsers and devices, accommodating web, native iOS, Android applications, and APIs, while integrating smoothly with your continuous integration and continuous deployment pipelines, such as GitHub, GitLab, Jenkins, and Azure DevOps, and delivering outcomes straight to platforms like Slack, Microsoft Teams, and Jira. You can opt for a self-service model or select a fully managed service customized to meet your preferences. With certifications in SOC 2 and ISO 27001, Klarent can be deployed in your cloud infrastructure or on-premises, providing both flexibility and security. Furthermore, the platform's intuitive interface allows teams of varying sizes to optimize their testing workflows, making it a practical solution for enhancing software quality across diverse projects. Overall, Klarent represents a significant advancement in the realm of automated testing solutions.

Media

Media

Integrations Supported

Bitbucket
GitHub
GitLab
C#
Claude for Legal
GPT-4
Gemini
Go
Java
Llama 3
Python
Terraform
pytest

Integrations Supported

Bitbucket
GitHub
GitLab
Azure DevOps
Circle
GitHub Actions
Jenkins
Jira
Microsoft Teams
Slack

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing depends on the user test suite size
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Roost.ai

Company Location

United States

Company Website

roost.ai/

Company Facts

Organization Name

Klarent

Date Founded

2022

Company Location

Switzerland

Company Website

klarent.ai

Categories and Features

AI Testing Tools

Not specified

Categories and Features

AI Testing Tools

Not specified

Automated Testing

Not specified

QA Testing

Not specified

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