Quell

Quell is an AI-driven platform designed to automate User Acceptance Testing (UAT) by leveraging AI Agents that perform thorough bug detection and validation of software builds. It addresses the unique needs of founders, product managers, QA leads, and compliance reviewers who require validation of features, business logic, and design accuracy without the need for complex technical setup. The platform streamlines the UAT process by automating test execution based on real acceptance criteria sourced directly from integrated issue trackers and project management tools.

Key features of Quell include seamless integration with popular development and collaboration tools such as GitHub, Jira, Linear, Vercel, Netlify, Slack, Figma, and Notion. This connectivity enables Quell to monitor builds and update testing workflows automatically as tickets or issues progress. Its AI Agents autonomously identify bugs and ensure that software releases meet predefined acceptance criteria, enhancing deployment accuracy and efficiency.

The platform offers rapid setup, allowing teams to connect their existing repositories, issue trackers, and deployment environments in minutes. Quell’s automation capabilities help reduce manual effort in UAT, facilitate continuous validation across staging builds, and support faster identification of issues that might otherwise delay product releases. This solution is particularly useful for high-growth companies seeking to optimize their release pipelines without increasing the burden on engineering or QA teams.

By providing an AI-powered approach to UAT, Quell supports a more consistent and intelligent testing workflow, helping organizations maintain software quality and alignment with business requirements throughout the development lifecycle.

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Website: quellit.ai

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