Quellit
Quellit deploys AI-powered UAT agents that automatically execute acceptance tests, detect critical bugs, and verify software against predefined acceptance criteria before release.
Quellit is an AI-powered acceptance testing platform that automates user acceptance testing (UAT) workflows to help teams detect critical issues earlier and validate that software meets defined business and functional requirements. It deploys intelligent UAT agents that simulate real user behavior, execute test scenarios, and verify outcomes against acceptance criteria across web applications and digital products. The platform is designed to reduce manual testing overhead while increasing coverage and consistency in UAT cycles.
Quellitβs AI agents can interpret requirements, user stories, and acceptance criteria to automatically generate and execute relevant test cases, including both positive and negative paths. They capture detailed evidence of each test runβsuch as steps performed, screenshots, and logsβmaking it easier to reproduce, triage, and resolve defects. The system continuously learns from previous runs and user feedback to refine test coverage and improve the relevance of scenarios over time. Integration with existing CI/CD pipelines and issue trackers enables teams to incorporate UAT checks into their delivery workflow without disrupting current processes.
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