What is Quell's UAT AI Agent Platform?
Create Quell UAT AI agents to automate acceptance testing, detect critical bugs, and ensure your Vercel or Netflify software builds meet acceptance criteria from Linear issues, Jira tickets or Figma designs. When issues are found, they flag & generate tickets.
Problem
Users rely on manual acceptance testing processes which are time-consuming and prone to human error, leading to missed critical bugs and delayed deployments.
Solution
An AI agent platform where users can automate acceptance testing and detect bugs using AI, integrating with tools like Jira, Linear, and Figma to validate builds and auto-generate tickets for issues.
Customers
QA engineers, DevOps teams, and software developers managing Vercel or Netlify builds who need efficient testing workflows.
Unique Features
AI agents autonomously validate builds against acceptance criteria from issue trackers/design tools and auto-generate flagged tickets, enabling end-to-end test automation without scripting.
User Comments
Reduces testing time by 70%
Catches edge cases manual reviews miss
Seamless Jira/Linear integration
Critical for CI/CD pipelines
Steep learning curve initially
Traction
Launched on ProductHunt with 850+ upvotes, used by 200+ teams including startups and enterprises.
Market Size
The global test automation market is projected to reach $80 billion by 2030, driven by AI adoption in QA processes (Grand View Research).
