Accelerate software quality with AI powered testing tools that drive precision through AI driven QA
nTestPro.AI streamlines the software development lifecycle by instantly converting written requirements into ready-to-use test cases. By leveraging AI for test automation, it eliminates testing overhead, ensures faster validation, and significantly accelerates time-to-market.
At Nous, we recognize the growing need for rapid release cycles without compromising on software quality. With seamless integration to Jira and Azure DevOps, nTestPro.AI enables tighter alignment between business priorities and technical delivery, while empowering test engineers with intelligent capabilities like requirement traceability metrics and project based self-learning. This self-learning mechanism supports holistic test coverage and impact analysis, allowing QA teams to identify dependencies, uncover risk areas, and drive continuous quality improvement across agile cycles. By leveraging AI-driven QA and AI in quality engineering, organizations gain the agility to achieve higher accuracy, efficiency, and reliability in every release.
Our platform combines advanced AI with proprietary models to deliver project-specific artifacts that adapt to diverse roles across the software lifecycle. Product owners gain clarity in acceptance criteria, functional test engineers can generate a wide range of test artefacts including functional, negative, edge, accessibility, and security test cases. Test automation engineers can create BDD feature files and step definition files with a single click Developers benefit from precise, AI-refined requirements.
By reducing repetitive tasks and fostering seamless cross-team collaboration, Nous leverages the power of AI in quality engineering to help businesses deliver reliable applications with greater efficiency and confidence.
Key Features
Requirement-to-Test Case Conversion
Instantly transform written requirements into structured, prioritized test cases with a single click. This rapid translation enables testing teams to start validation earlier, identify potential issues in less time, and leverage AI for test automation to accelerate coverage and efficiency.
Automated Security Specification Creation
Security requirements are generated automatically alongside functional requirements. This eliminates the need for lengthy security analysis cycles, ensuring critical safeguards are defined from the outset.
Integration Capabilities
Intelligent Requirement Analysis with AI
Apply advanced AI models, to refine requirements for clarity, testability, and relevance. This ensures higher-quality input for the testing phase and fewer gaps in coverage.
Algorithmic Optimization of Test Artifacts
Leverage proprietary mathematical models to fine-tune test cases and requirements, aligning them precisely with business objectives and project scenarios.
Integration with Jira and Azure DevOps
Seamlessly connect with existing workflow tools. Import user stories directly from Jira or Azure DevOps, and push updated, AI-refined requirements back into the same environment for continued development and tracking.
Why Nous?
