Is there a formula or approach to estimate how much you should spend on your quality engineering (QE) efforts? Our CEO, Steve Semelsberger, is frequently asked that question in discussions…
We are thrilled to share that Testlio has been awarded the ISO/IEC 27001 certification for our information security management system.
What can quality assurance (QA) teams expect in 2025? This article will cover what software testing trends QA teams should prepare for to succeed this year.
The deadline is looming, June 28th, 2025, and a lot of companies are keen to tell you how they can help you navigate the new European Union member states’ enforcement of the EAA.
If you are building or scaling digital products, chances are your QA process already includes gig testers. You post a task, someone across the globe picks it up, files a bug, and moves on.
AI failures rarely look like crashes. More often, they appear as confident but incorrect answers, subtle bias, or culturally inappropriate responses.
AI doesn’t just fail with bugs. It fails in silence, in bias, and in behavior. That’s why traditional QA won’t cut it anymore.
The goal of any mobile product is to create an app experience that’s innovative and new. But you must accomplish specific, necessary steps between crafting a clear vision for your…
Did you know the global digital health market is on track to surpass $660 billion by the end of 2025? That’s no surprise, considering how healthcare apps have become indispensable in our daily lives.
Mobile application testing ensures the functional and non-functional quality of mobile application workflows. As more users rely on smartphones for daily tasks, expectations for performance and reliability continue to rise.
With constant releases, testing on multiple devices, and users scattered across the globe, internal teams alone can fall short. To address these issues, companies are increasingly resorting to crowdsourced testing.
With the EU AI Act now in force, compliance is no longer about aspirational ethics or last-minute checklists, it’s about operationalizing quality assurance at every stage of your AI lifecycle.
Outsourcing quality assurance (QA) used to be about saving money. In 2025, you will have to build resilience into the release pipeline.