Embedded, Numerical Models & AI
We develop embedded systems and numerical models for industrial applications. We integrate machine learning and AI into control processes for production optimization.
Our work combines classical numerical methods (FEM, FDM, BEM) with modern machine learning approaches. We create digital twins of industrial processes and optimize production parameters using AI.
We design embedded systems for real-time control, data acquisition, and communication with supervisory systems. We use platforms ranging from microcontrollers to industrial PCs.
Numerical Simulations
Coupled electromagnetic, thermal, and structural analyses. Custom solvers as well as commercial tools (COMSOL, ANSYS).
Gallery
Key capabilities
- — Multiphysics FEM simulations
- — Machine learning and neural networks
- — Digital twins of processes
- — Embedded firmware (C/C++, Rust)
- — Real-time control systems
- — Production parameter optimization