Quell is a web-based application designed to enhance User Acceptance Testing (UAT) through AI-powered agents. These agents automate the testing process, ensuring that software development aligns with predefined acceptance criteria. Quell seamlessly integrates into existing workflows, assisting product managers and founders in efficiently validating their software builds. The platform supports various sources for acceptance criteria, including Linear and Jira tickets, as well as Figma designs, making it versatile for different project needs.

The program improves the speed and reliability of build deployments by utilizing both automatic and manual testing methods. Quell's advanced AI and machine learning capabilities provide enhanced insights and facilitate automated issue ticketing and build monitoring. Users benefit from real-time analytics that ensure correct build deployments, resulting in a more streamlined validation and delivery process. Overall, Quell offers a robust solution for teams seeking to optimize their UAT efforts.