What is Quell?
User Acceptance Testing (UAT) is crucial for ensuring software quality, but it's often a time-consuming bottleneck. Quell introduces AI-powered UAT Agents designed to automate this critical phase, helping your team detect bugs faster, validate builds against acceptance criteria efficiently, and deploy with greater confidence. Quell empowers Founders, Product Leaders, and development teams by transforming manual UAT into a streamlined, automated workflow.
Key Features:
🤖 Automated Acceptance Testing: Quell AI Agents automatically test your software builds against predefined acceptance criteria. They can pull criteria directly from your existing tools like Linear tickets, Jira tickets, or even Figma designs, and test them against deployment environments like Vercel, Netlify, and others, ensuring your builds meet requirements before they go live. This capability is key to significantly reducing manual testing effort.
🐛 Proactive Bug Detection & Reporting: Beyond simply checking criteria, Quell Agents are designed to identify critical bugs and edge cases. When an issue is found, the agent can automatically create detailed issue tickets in your preferred system, such as Linear or Jira, complete with relevant context, allowing your team to address problems faster and ship with greater peace of mind.
🔄 Seamless Workflow Integration: Quell integrates deeply with popular development and collaboration tools you already use, including GitHub, Linear, Jira, Slack, Figma, Vercel, Netlify, and G Drive. This allows Quell Agents to fit naturally into your existing processes, monitoring builds, accessing acceptance criteria, and reporting issues without requiring significant changes to your established workflow.
📊 Build Monitoring & Insights: Gain visibility into your testing process. Quell provides automated monitoring of your builds and testing activities, offering real-time insights. This helps ensure the right builds are validated and deployed efficiently, transforming testing from a potential bottleneck into a competitive advantage.
How Quell Solves Your Problems:
Quell directly addresses the challenges of manual, time-intensive UAT, offering tangible benefits:
Save Time: By automating routine acceptance tests, Quell Agents free up valuable time for product leaders, developers, and QA engineers. This allows your team to focus on innovation, scaling, and more complex tasks rather than repetitive bug hunting. (Reported potential: 50% UAT effort saved).
Deploy Worry-Free: Automated validation and proactive bug detection reduce the risk of critical issues reaching production. You gain confidence in your builds and can accelerate deployment velocity with streamlined, automated checks.
Remove Testing Pain: Transform testing from a manual burden into an AI-enhanced process. Quell Agents handle the repetitive tasks, allowing your team to leverage their expertise for higher-value activities, leading to increased quality and less friction in the development lifecycle.
Why Choose Quell?
Quell stands out by providing dedicated UAT AI Agents that integrate directly into your existing product and development workflows. It's built specifically to empower product-focused roles like Founders and Product Leaders, turning UAT into a streamlined, automated function rather than a manual chore, accelerating deployment speed and ensuring builds consistently meet acceptance criteria derived directly from your product planning tools.
Conclusion:
Quell provides the automation and intelligence needed to elevate your User Acceptance Testing. By deploying Quell AI Agents, you can save significant time, reduce deployment risks, and integrate UAT seamlessly into your development process. Discover how Quell can help you achieve faster, smarter software validation.
More information on Quell
Launched
2025-01
Pricing Model
Paid
Starting Price
$ 300 /mo
Global Rank
3908522
Follow
Month Visit
5.5K
Tech used
Top 5 Countries
100%
United States
Traffic Sources
9.69%
1.36%
0.19%
12.73%
33.38%
41.8%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 25, 2025)
Quell was manually vetted by our editorial team and was first featured on 2025-06-21.
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