NISAR automates complex & knowledge-heavy processes using multi-agent AI with a human-in-the-loop approach, reducing manual effort, lowering costs, and freeing experts for more complex tasks. It integrates data using advanced AI methods like GenAI, LLMs, and knowledge graphs; moderator agents enable natural-language-defined strategies and  expert interaction.

Exemplary Use Cases:
•   Quality Assurance, Quality Gates, Reporting
•   Requirements Engineering and Test Case automation
•   Creating test scenarios from norms and standards and matching them to real-world proving grounds
•   Vehicle bus and sensor signal matrix mapping and gateway programming
•   Accessing legacy project knowledge
•   Remote debugging, remote & virtual integration of ECUs

NISAR combines AI expertise with over 10 years of automotive industry experience. The founders have published on safe AI applications in collaboration with TH Ingolstadt at Bay.AI, focusing on complex industrial processes like production quality assurance and requirements engineering.