Services
Software Development Services
We provide full-cycle ECU/VCU software development following ASPICE best practices from SYS.1 to SWE.6, ensuring high process maturity, traceability, and production-ready quality. Our engineering team supports OEMs and Tier-1 suppliers with scalable, standards-compliant development.
Key Capabilities
✔ Requirements Engineering (SYS.1, SYS.2, SWE.1)
Structured capture, refinement, and traceability of system and software requirements using tools like Polarion, DOORS, and PTC.
✔ System & Software Architecture (SYS.3, SWE.2)
Design of modular, reusable, and safety-compliant architectures for powertrain, BMS, chassis, ADAS, diagnostics, and hybrid systems.
✔ Software Unit Design & Implementation (SWE.3, SWE.4)
Model-based development (Simulink) or embedded C/C++ implementation with MISRA, Autosar MCAL integration, and hardware abstraction.
✔ Software Unit & Integration Testing (SWE.5, SWE.6)
HIL/SIL testing, automated scripts, regression testing, interface validation, and coverage analysis.
✔ Configuration & Change Management
Git, SVN, Jenkins CI/CD pipelines, and automated reporting aligned with ASPICE SUP.1/SUP.8.
Reliable ECU & VCU Testing Solutions
Manual Test Box
Semi-Automated and HIL Testing
Semi-Automated and HIL Testing
Professional Testing solutions for manual ECU testing as per pinout specifications. Perfect for precise, hands-on testing requirements.
- Custom ECU pinout configuration
- Real-time load monitoring
- Manual control interface
- Comprehensive test documentation
Semi-Automated and HIL Testing
Semi-Automated and HIL Testing
Semi-Automated and HIL Testing
Enhanced testing efficiency with our semi-automated and HIL testing, featuring an intuitive GUI for streamlined test execution.
- User-friendly GUI interface
- Pre-configured test sequences
- Automated data logging
- Customizable test parameters
Predictive Maintenance
Semi-Automated and HIL Testing
Predictive Maintenance
Leverage cutting-edge AI and machine learning to automatically generate test cases and Advanced predictive analytics to identify potential failures before they occur, reducing downtime and maintenance costs.
- Intelligent test case creation
- Pattern recognition analysis
- Real-time health monitoring
- Failure prediction algorithms
- Maintenance scheduling