Customer: Emposo
Role: Implementation & scaling partner
Industry: Automotive Software & Systems Engineering
Challenge
Automotive OEMs demand more test coverage, shorter timelines, and lower cost at the same time.
For Emposo and their OEM customers, test case creation had become a structural bottleneck:
- Test engineers manually derive test cases from complex specifications
- HMI, infotainment, and vehicle bus systems require highly detailed, domain-specific tests
- Manual analysis and test definition are slow, expensive, and error-prone
Baseline reality:
- ~1,000 test cases require ~100 engineering days (~€49,600)
- ~5,000 test cases per project × 6 projects/year
- ~€1.5M annual test creation cost
Traditional test automation reduced execution effort but not the upstream creation bottleneck.
Solution
Knowledge-Driven Test Generation with TestForge
Together with Emposo, Context64AI implemented TestForge an AI-driven system that generates test cases directly from complex engineering inputs.
Core approach:
- Built a Knowledge Graph from:
- Customer specifications
- Functional requirements
- Existing test cases
- CAN bus and protocol documentation
- Defined AI agents that follow the actual test engineer workflow
- Generated test cases are written back into the graph, enabling continuous learning and refinement
This ensured the system reasoned over engineering structure, not unstructured text.
Result
Customer Quote
“Our automotive clients demand more test coverage in less time for less money. Before TestForge, that equation didn’t work. Now it does.
Context64AI built a knowledge graph from our specifications, requirements, and CAN bus documentation. Their agents follow our engineers’ actual workflow not some generic chatbot.
The result is a 700% productivity increase and test cases that get smarter with every iteration.”
- Senior Project Manager, Emposo
Key Takeaway
Test automation alone does not solve the real bottleneck.
By grounding AI in structured engineering knowledge and real workflows, TestForge transformed test creation from a manual cost center into a scalable, learning system delivering speed, quality, and measurable business impact.