Spur is an “AI QA engineer” that shifts web app testing to an agent-based approach. It runs thousands of AI browser agents that behave like real users—clicking through pages, completing checkouts, and following links—to surface critical issues before customers encounter them.
Agent-based automated QA
Spur simulates large volumes of user behavior in minutes, helping teams validate key journeys without heavy scripting or manual regression.
- Test funnels, checkout, carts, and forms
- Validate navigation and core user paths
- Run large-scale browser-based testing quickly
Built for product and engineering teams
Spur is especially relevant for e-commerce and SaaS products where UI errors can directly impact revenue and retention. By scaling realistic testing, it helps teams reduce QA load and support faster release cycles.
- Reduce reliance on manual regression passes
- Improve release confidence with continuous, scalable testing
- Get more actionable findings tied to real user behavior
Focused on real-world bugs
Instead of relying only on synthetic test cases, Spur’s agents prioritize practical user journeys. This increases the chance of catching issues that break UX and conversion, and produces reports that are easier to act on.
