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Dean Hickman-Smith’s appointment signals Testlio’s commitment to scaling leadership, accelerating partnerships, and enterprise adoption of AI-enabled 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.

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.

Outsourcing quality assurance (QA) used to be about saving money. In 2025, you will have to build resilience into the release pipeline.

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.

Engineering teams now move faster than ever. In 2025, they build smarter, ship quicker, and rely heavily on AI tools and continuous delivery pipelines.

We are thrilled to share that Testlio has been awarded the ISO/IEC 27001 certification for our information security management system.

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.

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.

This article serves as a step-by-step guide for creating a test automation strategy. It will help you answer why, when, and how to perform automated testing, so you can not only implement it but also overcome its challenges.

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.