AI-based test generation uses machine learning and natural language processing (NLP) to automatically create test cases. It interprets user stories, UI logs, or functional specs to generate accurate, reusable test scripts—covering positive, negative, and edge scenarios in a fraction of the time manual methods require.

In most cases, up to 70–80% of test authoring effort is eliminated. Our models learn from your flows and create detailed scripts instantly—freeing QA teams to focus on exploratory testing, business logic validation, and continuous test improvement

Each test is generated based on actual workflows and validated against expected outcomes. We also layer human QA oversight to eliminate false positives and ensure accuracy over multiple sprints—giving you consistent, reliable test coverage across versions.

Yes. It’s built for agility. As stories evolve sprint to sprint, AI instantly regenerates relevant test cases—supporting rapid releases, continuous testing, and regression automation without waiting on manual test teams to catch up.

Absolutely. Our service supports integration with all major testing tools (e.g., Selenium, Cypress), ALM platforms, and CI/CD pipelines—ensuring smooth adoption without replacing your current processes or infrastructure.