At Softinery, we develop robust and tailored desktop applications for businesses, industry, and research institutions. Our solutions combine reliable architecture with modern user interfaces, built using technologies like Python, C#, and Flutter.
How We Work
We design and implement cross-platform or native desktop software, always selecting the most suitable technology stack for each project. Whether it’s scientific data processing, industrial process simulation, or enterprise-grade tools, our goal is to deliver efficient, maintainable, and user-friendly applications.
Sample Projects
Steel Furnace Simulation Software
A custom simulation tool developed for the metallurgical industry. It models the heat treatment process in industrial furnaces, enabling engineers to visualize temperature curves and analyze thermal behavior under varying operational conditions.
Bibliographic Data Analysis Platform
A desktop application created for a scientific research institute. It allows users to import, process, and visualize large-scale bibliographic datasets from sources such as Scopus and Web of Science. Includes advanced filtering, data aggregation, and export features.
Laboratory Experiment Management Tool
A solution for research teams to plan, document, and manage laboratory experiments. The software supports integration with measurement devices, automated data collection, and real-time result analysis.
Technologies We Use
Python
- PyQt / PySide
- Tkinter
- Kivy
- pandas, numpy, matplotlib (for scientific computing and data analysis)
C# / .NET
- Windows Forms
- WPF
- Integration with Windows services and native APIs
Flutter
- Flutter Desktop for Windows, macOS, and Linux
- Custom plugin development and native module integration