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 leveraged its proprietary Agentic AI based testing tool under its NomAIzo^TM AI portfolio. 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