Quality Assurance
Ensure high software quality and customer satisfaction
Maintain the highest standards in your projects by carrying out analyses or selecting appropriate tools.
Why is it important
to take care of
software quality?
Quality assurance services
We tailor our testing approach to meet the specific needs and challenges of the software lifecycle.We carry out manual tests to catch usability problems, unusual events and complex scenarios.
We prepare a test automation framework that provides guidelines, coding standards and best practices for automated testing.
We conduct user experience and software functionality tests.
We identify vulnerabilities to increase software security.
We automate recurring tests to improve performance and accuracy.
Implemented projects in
/ Projects we are proud of
How We Improved the Development and Maintenance of an ERP System in a Legacy Application
We supported the reorganization of our client's development team and optimized the further development of the ERP system based on Oracle Fusion Middleware.
Development of a GDPR-Compliant Chat Module for SynComNet
For our client SynComNet, we developed a modern chat system integrated with ERP and Azure that automates team communication, enhances operational efficiency, and ensures full access control.
EV Charging Optimization with AI – More Efficient Last-Mile Deliveries
By implementing a specialized AI-powered optimization engine, the client gained the ability to precisely plan EV fleet charging under varying operational conditions. Flexible goal modeling (cost or CO₂ emission minimization) and fast system response times led to improved infrastructure utilization…
Fleet Optimization and Customer Retention in Shared Mobility Using Geolocation Analytics
A comprehensive analytics project delivered for a shared mobility platform operator. The goal was to improve fleet utilization efficiency and boost customer retention through geolocation data analysis and user segmentation.
Revolutionizing Railroad Sleeper Damage Detection with AI/ML
For an international company specializing in automating railroad processes, we developed software to identify specific foundation defects.
AI/ML Application in Hypoglycemia Risk Prediction for Diabetic Patients
AI/ML supports diabetes care – the system analyzes patient data and alerts about hypoglycemia, enhancing safety and reducing the burden on medical staff.
What are the stages of the QA process?
The testing process is highly variable. In terms of execution, it greatly depends on the customer’s SDLC (Software Development Life Cycle). Typically, the QA process is based on 4 stages:
I — Test strategy development
During product workshops, we analyze the client’s current QA process and develop a testing strategy, considering key assumptions. We also provide metrics, such as custom data visualizations, to better illustrate the state of the products.
II — Test plan
Based on the strategy, we develop a test plan for each project, defining scope, roles, QA risks and responsibilities. We also check whether developers tested their own code or used the right tools.
III — Creating test scenarios
Working with the client, we create a professional QA process, documented in a “QA Handbook” — a comprehensive guide for testers and project teams, including best practices for testing web and desktop applications.
IV — Execution of the strategy and plan
Once the QA documentation has been prepared, the next step is to implement the policy, strategy and plan. This usually includes the analysis and validation of requirements, the creation and execution of test scenarios, and the test report.

Why is it worth
working with experienced
QA specialists?
01
Extensive QA experience in international projects
02
Use of the latest testing tools and methodologies
03
Proven QA successes in customer applications
04
Customized QA solutions
05
Collaborative approach and open communication
Tools and technologies











AI/ML