AI-Powered Testing & Generation
Leverage Generative AI to turbocharge your QA processes. We utilize AI models to automatically generate test cases from user stories, write automation scripts, and analyze massive amounts of defect data to predict where the next bugs will occur.
Service Overview
Requirement Parsing
Feeding Jira tickets to LLMs to instantly output Gherkin (BDD) test scenarios.
Code Generation
Using GitHub Copilot and custom agents to write Playwright/Cypress automation scripts.
Defect Prediction
Machine learning models analyzing Git history to flag risky code commits requiring extra testing.
Key Benefits
Massive Time Savings
AI generates hundreds of boundary and edge-case tests in seconds.
Broader Coverage
AI thinks of edge cases that human testers often overlook.
Predictive Quality
Know which parts of the codebase are most likely to fail before testing begins.
Our Process
AI Integration Setup
2 WeeksConnecting AI tools to your Jira and GitHub repositories securely.
Workflow Automation
3-4 WeeksSetting up webhooks so tests generate automatically when a user story is marked 'Done'.
Predictive Modeling
4-6 WeeksTraining ML models on historical defect data.
Industries Served
Enterprise Software
Scaling QA efforts across massive engineering organizations.
FinTech
Ensuring absolute coverage by identifying every possible edge case via AI.
Technologies We Use
FAQ
Can we trust AI to test our software?
Join The Inner Circle
Get exclusive insights on AI automation, software systems, and digital growth strategies from NeoGen Technologies.