AI for Quality Engineering | Tech Mahindra

Overcome Challenges in Testing

Testing costs take up around 30% of the overall project cost. This can be even higher in large testing projects due to a more complex allocation of resources and prioritization of additional testing measures. We’ve harnessed the advances in machine learning, the availability of algorithms using popular scripting languages such as Python, and faster and cheaper computing power to accelerate testing significantly.

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Our AI-Based Testing Solutions
  • eAnalytics – AI/ML powered, predictive analytics 
  • LitmusT MAGiX – AI-based visual testing

Solution Highlights

eAnalytics

Pre-test outcome predictions, qualitative AI to detect the likely causes (hotspots) of a failed prediction, and automated, actionable insights from using these hotspots.

LitmusT MAGiX

AI-based visual testing for visual bugs, helping to improve the customer experience and save revenue.

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