Stop chasing broken tests: Autonomous QA with BearQ

As teams ship software faster with AI, scripted test automation breaks and creates more maintenance work for QA. Coverage gaps widen, tests get flaky, and teams spend more time fixing scripts than improving quality. 

SmartBear BearQ™ is SmartBear’s autonomous QA system built to continuously explore your application, learn how it behaves, generate and execute tests, and adapt as your application evolves. No scripts. No maintenance. Just coverage. 

See autonomous QA in action, then try BearQ yourself 

Join us for a live session showing how BearQ moves from exploration to generated tests to actionable issues. You’ll see how BearQ discovers workflows, identifies coverage gaps, generates tests, and adapts as your application changes. 

Following the session, attendees will receive exclusive direct access to begin evaluating BearQ in their own environment.  

What you’ll see: 

• BearQ’s exploration-to-test-generation workflow
• How BearQ uncovers coverage gaps and untested areas   
• How BearQ adapts as applications change to reduce brittle test maintenance Human-in-the-loop controls for review and trust 
• Defect reports with rich diagnostic context 
• CI/CD, GitHub, issue tracking, and MCP ecosystem integrations 

What you’ll take away: 

You’ll leave with a clear understanding of how autonomous QA works under the hood, where BearQ fits in a modern QA and engineering workflow, and whether it’s a fit for your team’s testing strategy. 

Attendees will also receive access to a BearQ trial following the webinar, providing a direct path from education to hands-on evaluation. 

Who should attend 

This session is designed for QA and engineering practitioners and leaders who want to evaluate autonomous QA today. 

It’s especially relevant for Senior QA Engineers, QA Automation Engineers, SDETs, QA Team Leads, Directors of QA, and engineering leaders responsible for improving test coverage, reducing automation maintenance, and keeping quality in sync with faster development cycles.