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.
Rethinking Crowdsourced Testing: Why Leaders Are Leaving the Gig Model Behind
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.
Top 7 Outsourced QA Companies in 2025
Outsourcing quality assurance (QA) used to be about saving money. In 2025, you will have to build resilience into the release pipeline.
9 Mobile App Testing Strategies for 2025
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…
8 Test Automation Best Practices for Serious QA Teams
Test automation is no longer a nice-to-have—it’s a baseline expectation for any team serious about delivering high-quality software at scale.
Top Managed Software Testing Services in 2025
Engineering teams now move faster than ever. In 2025, they build smarter, ship quicker, and rely heavily on AI tools and continuous delivery pipelines.
Human-in-the-Loop at Scale: The Real Test of Responsible AI
AI failures rarely look like crashes. More often, they appear as confident but incorrect answers, subtle bias, or culturally inappropriate responses.
Understanding Healthcare App Testing: Improving Customer Acquisition & Retention
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.
Testlio is Now ISO/IEC 27001:2022 Certified
We are thrilled to share that Testlio has been awarded the ISO/IEC 27001 certification for our information security management system.
How to Test AI Applications: Frameworks, Metrics, and Methods
Testing AI-powered applications is one of the top priorities for teams deploying machine learning systems at scale. As AI becomes embedded in everyday tools, its behavior becomes harder to control.