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2d ago

The Best QA Teams Don't Just Protect Revenue. They Grow It.

Most teams think of QA as a cost centre.

Its job is to prevent bugs, reduce incidents, and stop bad releases from reaching customers.

2d ago

What Our First Enterprise Client Taught Us About AI QA

Our first enterprise client has more than 1000 staff. One of the biggest surprises after onboarding wasn't about the product, it was about what they actually cared about.

We expected conversations around AI models, autonomous agents, or how many bugs we could find.

2d ago

The End of Test Scripts? Why AI Needs to Understand Products

Software teams are shipping faster than ever. AI coding assistants, low-code platforms, and increasingly autonomous development have dramatically reduced the time it takes to build and release new features.

Ironically, this makes quality assurance harder, not easier.

1d ago

Talotrace - AI QA engineer that finds, explains, and reproduces bugs

Most AI testing tools execute predefined test cases or stop at detecting bugs. TaloTrace learns how your product works, autonomously explores real user journeys across web and mobile apps, and verifies every finding while reducing false positives. Every issue is delivered as a Trace with recordings, console logs, network logs, reproduction steps, severity, root cause analysis, and supporting evidence. This gives engineers everything they need to understand, reproduce, and resolve issues faster.