At Softinery, we create simulation software and mathematical models that help analyze and understand complex systems. Simulations allow our clients to study how a process behaves under different conditions — without the risks or costs of real-world testing.
Our work focuses on applications in science and engineering, where accurate modeling can improve design, monitoring, and control.
Application Areas
Bioreactors and Biofilm Growth
We develop simulation tools for biotechnological systems, including models of biofilm formation inside bioreactors. These simulations are used to study biological activity, flow conditions, and the effect of operational parameters.
Thermal Processes in Metallurgy
We model heating and cooling processes in industrial furnaces, including temperature distribution and material response over time. These models help engineers optimize energy use, improve uniformity, and plan production more effectively.
Well Monitoring in Oil & Gas
We build software for simulating and monitoring boreholes. This includes mathematical modeling of pressure, temperature, and flow profiles over time, based on data from sensors. Our tools help detect anomalies, track changes, and support decisions in field operations.
Core Competencies
Optimization
Simulation-based parameter tuning and performance analysis.
Numerical Methods
Time-dependent simulations using differential equations and discretization techniques.
Discrete Mathematics
Modeling of event-driven and rule-based systems.
Control and Fault Detection
Simulations of system control behavior and early detection of irregularities or failures.
Signal and Data Processing
Analysis and filtering of sensor data, including time series and measurement signals.