Software is no longer built for people only. Every app is now part of a larger digital environment where humans, algorithms, and AI systems interact.

Applications become training data for AI agents. When software contains design flaws, hidden constraints, or unreliable measurements, the impact goes far beyond user inconvenience. It affects workers, distorts business decisions, and introduces poor-quality data into the systems that increasingly power AI.

We believe software quality is becoming a critical infrastructure issue.

As AI systems learn from and operate within digital environments, software bugs are no longer just defects—they are data pollution. Better software creates better decisions, healthier AI systems, and stronger businesses. Our goal is to make those hidden design failures visible so they can be understood, measured, and fixed.