This platform provides an AI-powered solution for User Acceptance Testing (UAT) that automates test case generation and execution. It integrates with existing development tools like Jira and Figma to ensure product builds meet acceptance criteria efficiently. The service aims to significantly reduce UAT cycle times while providing audit-ready documentation for compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Manual User Acceptance Testing (UAT) is time-consuming and resource-intensive, often leading to delays in product releases and missed critical issues. Teams struggle to ensure builds meet diverse acceptance criteria across product, design, compliance, and marketing perspectives without significant manual effort.
Solution
Quell provides a no-code platform for building and deploying UAT AI Agents that automate the validation of software builds against predefined acceptance criteria. These AI agents integrate with existing development workflows and tools, such as Jira, Linear, Figma, and Vercel, to execute cross-functional testing. By leveraging AI, Quell agents can identify functional, design, compliance, and marketing-related defects, generating detailed reports with visual documentation. This automation streamlines the UAT process, enabling faster feedback loops and improving overall build quality.
Target Audience
The primary users are founders, product managers, QA leads, and compliance reviewers who need to validate software features and ensure design fidelity without extensive technical setup.
Features
- No-code platform for creating specialized UAT AI Agents (e.g., Product, Design, Compliance, Marketing).
- Integration with development tools including GitHub, Linear, Jira, Vercel, Netlify, Figma, and Google Drive.
- Automated test case generation based on acceptance criteria extracted from issue tickets or design specifications.
- AI-driven execution of cross-functional testing scenarios to validate builds against requirements.
- Automatic creation of detailed bug tickets with attached screenshots and video recordings for identified issues.
- Ticket-triggered automation that initiates testing upon status changes in integrated issue trackers.
- Support for validating web application builds deployed on platforms like Vercel and Netlify.
- Secure, self-authentication sign-in and encrypted data handling for user information and test results.