Qualiti.AI

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Qualiti.AI is an advanced AI-driven test automation solution designed to streamline the software testing process by minimizing human intervention. By leveraging artificial intelligence, Qualiti.AI autonomously generates, maintains, and executes test cases, ensuring comprehensive test coverage and rapid feedback for development teams. This hands-off approach allows engineers to focus on core development tasks while the AI handles the intricacies of quality assurance. Key Features and Functionality: - Rapid Setup: Integrate Qualiti.AI into your development environment within minutes by adding your environments, credentials, browsers, and project logins. - AI-Generated Tests: The platform automatically creates feature groups, test cases, and test steps, which can be supervised and edited as needed. - Flexible Execution: Schedule tests to run at any time, fully customizable to fit within your CI/CD pipeline. - Parallel Testing: Execute hundreds of tests simultaneously across various browsers, typically completing test suites in under five minutes. - Automated Maintenance: The AI maintains tests by updating selectors and test steps as application features evolve, with user approval. - Intelligent Triage: Focus on actual bugs with AI-driven result triaging, and easily share comprehensive bug reports via platforms like Slack or Jira. - Customization: Edit tests using Playwright or natural language, incorporating variables or custom code, and add smart assertions for dynamic data and non-deterministic outcomes. Primary Value and Problem Solved: Qualiti.AI addresses the challenges of manual and time-consuming software testing by providing an AI-managed solution that automates the entire testing lifecycle. This innovation reduces the burden on engineering teams, accelerates release cycles, and enhances product quality by ensuring real-time, comprehensive test coverage. By eliminating the need for manual test creation and maintenance, Qualiti.AI allows companies to reallocate resources more efficiently, potentially reducing engineering budgets by up to 30%.