Test with the power of the Hive
Scriptless and AI-powered automated testing of web applications with reduced maintenance costs
Scriptless and AI-powered automated testing of web applications with reduced maintenance costs
Visual, scriptless, modelling of tests reduce cognitive load and required technical knowledge.
HiveMind is powered with AI and Machine Learning, making your testing smarter
Run manual and automated tests without scripting or programming skills.
Built with pure Java and it's completely independent of implementation. Works on all apps that have a graphical user interface.
All actions are recorded and stored in the HiveMind data structure with the AI/Machine Learning algorithms. The algorithms analyze the data and supports the user by proposing actions and test improvements.
HiveMind can utiliize several inputs of data. This enables everyone in the team to test and feed a common data structure, further improving the AI and Machine Learning algorithm.
The technology is completely independent of implementation and works on all apps (dektop, web and mobile) that have a graphical user interface.
More cost-efficient in some cases not to automate
Detecting abnormalities that only human cognition can detect
Exploratory and user experience testing possible
Highly time consuming
Error prone with human mistakes affecting validity of tests results
Lack of domain knowledge of what they are testing
Cumbersome and repetitive
Complexity growing exponentially with the project being scaled
Get the benefits of scalable and efficient test automation
Significantly reduced time and cost with scriptless testing
Empower the tester with AI and Machine Learning algorithms, improving their test capabilities
Utilize the human cognition to perform exploratory and UX testing
Reduced maintenance cost with self-healing technology
CI-Integration
Repetitive (cost-efficient)
Less human error
High maintenance costs of test scripts
Increased complexity of test scripts add to maintenance costs
Requires high knowledge and skills in programming (both technical and domain)
Cumbersome and repetitive
False-positive (not bug) vs. true-positive (bug) test results
All actions performed by the testers are recorded and displayed in future tests, which helps testers to know what to test and what has been already tested.
Provides a visualization of every possible user journey and coverage for new content introduced. Learns and predicts new possible paths.
Helps to calculate and evaluate the quality of the product.
