Service Overview
System Test AI
End-to-end automated validation that reduces testing time by up to 75% through AI-generated test scenarios and intelligent execution. Ensures ISO 26262 functional safety compliance — using graduated warning strategies and temporal plausibility checks to minimize false positives. Supports HIL, SIL, and vehicle-loop environments with a validated AI model pipeline achieving 18.7× inference speedup.
75%
faster test execution
ISO 26262
safety compliance
18.7×
inference speedup
5.99%
accuracy improvement
49.15%
recall improvement
Capabilities
Key capabilities
End-to-End Test Automation
Comprehensive system-level testing from requirements to validation.
HIL/SIL Support
Full support for Hardware-in-the-Loop and Software-in-the-Loop testing environments.
Traceability Matrix
Complete traceability from requirements to test cases to results.
Automated Test Generation
AI generates system test scenarios based on requirements and specifications.
Performance Optimization
75% reduction in test execution time through intelligent test scheduling.
Technology
Technology stack
| Component | Technology | Purpose |
|---|---|---|
| Test Framework | AUTOSAR, CANoe | Automotive testing |
| Simulation | MATLAB/Simulink, CarMaker | Vehicle simulation |
| Test Generation | LLM, AI models | Test case generation |
| Traceability | Requirements management tools | Test traceability |
| CI/CD | Jenkins, GitLab CI | Automation pipeline |
Use cases
Real-world applications
Documented outcomes from actual deployments.
Accelerated Test Generation
AI automatically generates test cases from models and requirements, replacing the 20–40 minute manual process with a 5–7 minute AI-powered workflow at 85–90% accuracy.
Before
20–40 minutes manual test case creation per task, 1–2 month testing phases
After
5–7 minutes AI generation per task, 0.5–1 month testing phases
AI Model Validation Pipeline
Three-stage validation pipeline (AI Model Loop → Hardware Loop → Vehicle Loop) to validate AI models for automotive applications within tight production timelines, ensuring both performance targets and functional safety are met.
Before
No structured pipeline to validate AI models against rigorous automotive performance criteria
After
Both AI models deployed and exceeded production targets on schedule
How we work
Implementation approach
Phase 1: Requirements Analysis
- Analyze system requirements and specifications
- Define test scenarios and acceptance criteria
- Plan HIL/SIL test environment setup
Phase 2: Test Generation & Automation
- Generate system test cases from requirements
- Automate test execution in HIL/SIL environments
- Create traceability matrix
Phase 3: Validation & Optimization
- Execute tests and validate results
- Optimize test execution order and scheduling
- Ensure comprehensive requirement coverage
Phase 4: Continuous Integration
- Integrate with CI/CD pipeline
- Automate regression testing
- Monitor test results and quality metrics
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