Rapid test creation
with advanced machine learning
AI-assisted Self Heal
Create tests with ML-assisted validations that self-heal
Capture & Replay
Activate our recorder to capture clicks, hovers, data inputs and more
Interact with external systems from DBs to APIs, Emails and Text Messages
Existing solutions aren’t good enough
The software testing tools you use today are good — but they don’t go nearly far enough. Professional testers and developers want to spend their time testing software, not wrestling with the tools. Too often, existing tools let you create tests fine, but the maintenance process is excruciating. Tests are brittle, inflexible and hard to update OR they are so “flexible” that testers have to spend more time customizing them than actually running tests.
We can do better.
In fact, we do by focusing on:
- Ease of use: It just works the way you expect
- Power: Rich functionality to handle all of your tests, even for the most complex, advanced websites
- Flexibility: Testers of all skill levels, even developers, will enjoy using Functionize to test their software
- REAL ML: Our deep machine learning engine makes your team better and is fully transparent to the user. No black box or hand-waving – just actual ML that makes your job easier
Deep ML Engine explainedView diagram
Build and store custom, reusable code that you can tie to pre and post conditions in your tests
Advanced Attribute Editor
Access underlying DOM and CSS data to customize attribute values in selectors
Create tests that make API calls, verify Databases, log into Emails, Validate text Messages, and much more!
Architect – Advanced Capabilities
Project variables and test variables
Loops and conditionals;
Test Creation – Quickly
Architect provides a point and click experience that allows tests to be created in minutes.
Advanced Testing Scenarios
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Functionize is designed with all levels of testers in mind. We simplify test creation while providing rich features to tune tests for your most complex scenarios. Running in our test cloud gives you elastic scale to handle continuous testing in your CI/CD pipeline or large regression suites. Meanwhile the deep machine learning engine is modeling your applications and dynamically updating your tests as your UI changes; saving you the aggravation of constant maintenance.