AI now sits inside most software, whether teams planned for it or not. A recent report from Stanford HAI found that AI adoption jumped from 55 percent in 2023 to 78 percent in 2024.
New AI-powered analytics help engineering and QA leaders measure quality, reduce risk, and ship faster.
Agentic AI is now moving into quality assurance (QA), and its impact is undeniable. What used to be a human-only responsibility is now becoming a shared system of humans and intelligent agents that observe, reason, and act across the stack.
When product teams decide to launch globally, crowdsourced testing is one of the most talked-about approaches. But for many engineering leaders, QA managers, and product owners, the big question is where and how it fits.
Solution combats AI hallucinations, bias, and privacy threats as early-adopter data shows 82% of AI bugs stem from misinformation and high-severity accuracy failures.
2025 will be remembered as the year AI wrote poetry, passed medical exams, and stumbled with spectacular blunders. For every impressive breakthrough, there was an equally impressive facepalm.
If you have ever searched for a crowdsourced testing partner, you have probably seen the same promise repeated: “thousands of devices, hundreds of geographies.” While impressive at first glance, these vanity metrics rarely reflect the true quality of a QA partnership.
Founding partners InnoWave and Bugcrowd join forces with Testlio to deliver next-generation testing and unmatched client outcomes.