Executive Summary
The client is a leading provider of automotive and mobility technologies. eInfochips was engaged with the customer for validation of their safety-critical software. However, manual test case design for DO-178C was time-consuming and prone to errors, making the process inefficient. Additionally, ensuring traceability and compliance was essential for certification, yet difficult to achieve.
To address these challenges, eInfochips developed a multi-agent AI based testing tool under its NomAIzo™ AI portfolio. The tool uses an intelligent agent to analyze complex regulatory and requirement documents and automatically generate relevant test cases. The tool utilizes Agentic AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to automate test case generation from the standard software requirement documents. The tool significantly improved productivity by up to 50% while achieving 70% accuracy. The on-premises AI deployment enabled support for multiple business units, allowing shared use of models and reducing overall operational costs
Project Highlights

- Agentic AI-based tool development under NomAIzo™ AI portfolio
- Automated test case generation
- DO-178C compliance/standard specific test cases
- Improved productivity by up to 50%
- Reduced cost with on-premises AI deployment
