Set a new quality standard
Our modern approach to assurance helps you build trust in AI systems and frees up time you can apply to setting thoughtful policy or managing current issues and unknown risks.
We use an AI-driven testing approach that goes beyond traditional software validation and into operational monitoring. This allows us to test the quality of a wide range of areas, including customer experiences and human interactions, operational processes, physical devices, marketing content and even the AI models themselves.
Unlike traditional testing that focuses solely on release, our continuous testing approach ensures ongoing quality and performance optimization.
Key benefits of our approach
End-to-end quality assurance
Cognizant Quality Engineering and Assurance helps enterprises succeed in the connected world with quality and speed. With global partnerships and more than 1,000 clients across industries, we bring first-time-right quality and proven next-generation QE solutions to your business' most important initiatives.
Redefine your approach to quality assurance for AI
Let's discuss how Cognizant can help you mitigate risks, build trust and ensure responsible AI deployment. Traditional AI governance approaches are outdated and often ineffective.