Intelligent test automation

Based on patented convolutional neural networks, Vision AI sees and steers elements on virtually any technology – from cloud-native, enterprise apps, to simple designs and mockups.

Build codeless, resilient automated tests through a unique approach that separates the automation model from the underlying application. This way, changes to the application source code can be done frequently without impacting the test automation.

Prioritize testing for business-critical functionality, reduce overall test creation and maintenance costs, and make smarter “go/no-go” release decisions with risk-based test optimization.

Free business users from manual testing by giving them an easy way to record their day-to-day activities that can then be converted into automated test cases.  

Service Virtualization solves the nightmare of trying to test responses from systems that are difficult to access/provision or that have not been built yet. This removes one of the major sources of testing delays, enabling automated tests to run at any time.

Waiting for “good” test data is another nightmare that delays traditional testing. With Test Data Management, you can automatically create and provision on-demand (i.e., synthetic, masked, or imported) stateful data for even the most complex scenarios.