Optimize your risk-based testing with AI power.
Manual solutions work. Our AI-powered solutions work best.
Risk-based testing done by humans is effective, but adding machine learning, algorithms and automation can bring stunning results.
Drive selection and prioritization with data, not tester instinct or experience, to improve accuracy and reliability.
Run fewer tests by identifying those most likely to fail and those that are redundant. Our tools have proven up to 80 percent accurate in predicting test failure.
AI tools can identify the highest-risk, highest-impact areas early so you can put them on the top of the list.
Data analytics can zip through massive volumes of user feedback, scanning for repeated words and patterns that show how users feel and where they’re spending time on your site. Gain actionable insights to improve your E2E UX.
In a DevOps/Agile world of hourly releases, manual testing simply can’t keep up. You need machine learning, algorithms and automation to keep on schedule while ensuring high quality. AIs work around the clock.
AI automates the tedious, repetitive aspects of testing so testers can turn their talents to complex problems and niche or “edge” cases.
Companies that don’t use AI in their RBT are at a disadvantage.
Get to know how we engage despite the issues.
We offer tailored testing in a broad range of industries, technologies and business initiatives. Find your focus.
Top Insights
Our vast wealth of knowledge and rich experience with testing sets us apart from the rest. Read more about how we’ve helped other customers just like you.
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