Accelerate System Verification with Expert Modeling & Simulation Services.
From seamless Simulink migration to complex control algorithm design—partner with the Simit engineering team to build, optimize, and validate your critical systems.
Migration & Platform Transition
Seamless Migration from Simulink/SLX.
- Full support for parsing and migrating .slx model structures.
- Support for standard formats like FMU (Model Exchange & Co-Simulation) and XML.
- Guarantee of solver consistency (RK2, RK4, Euler) to ensure legacy models perform identically.
Engineering Modeling Services
We build the models so you can focus on the innovation.
- System-Level Modeling: Complex multi-domain physics (Mechanical, Electrical, Hydraulic).
- Control Algorithm Development: Designing and tuning control laws (e.g., flight control, PID, motion planning).
- Performance Optimization: Optimizing model execution speed for real-time HIL scenarios.
- Digital Twins: Linking mathematical models to high-fidelity 3D scenes (Unity/Unreal).
Customization & Integration
Tailored solutions for enterprise workflows.
- Development of Industry-Specific Model Libraries tailored to client standards.
- Creation of custom solver plugins and simulation components.
- Integration of Simit into existing CI/CD or verification pipelines.
Industries & Specialized Fields
Aerospace, Aviation & Marine
Suitable for complex systems like flight control, propulsion, and trajectory planning; supports multi-coupled loop simulation for high-reliability analysis; validates dynamic interactions between algorithms, mission flows, and equipment.
Communications & Electronic Warfare
Covers communication links, signal processing, radar, and sensor algorithms; validates real-time signal chains, filtering, and modulation; assists in assessing system performance, anti-interference capability, and mission adaptability.
Power, Automotive & Robotics
Supports mechanical structures, power systems, motion control, and electrical systems; applicable to autonomous driving, motor drive, and industrial control scenarios; optimizes control strategies, energy consumption, and system stability.
More Modeling Domains
Includes automation systems, energy systems, biomedical signals, IoT devices, etc.; supports multi-physics, multi-resolution, and hybrid discrete/continuous models; provides a unified platform for cross-disciplinary algorithm verification.