NISAR automates complex processes using a multi-agent AI architecture and a human-in-the-loop approach – reducing manual effort and cutting costs.
Advanced AI methods like GenAI, LLMs, and knowledge graphs enable seamless data integration. Moderator agents allow users to interact in natural language.

Use Cases:

• Quality assurance, quality gates, reporting
• Requirements management and test case generation
• Making legacy project knowledge accessible
• Automated report generation

NISAR combines AI expertise with over ten years of experience in the automotive sector.
The founders have published together with TH Ingolstadt on safe AI applications, focusing on quality assurance and requirements management.

We support your development and operational processes with our in-house tools, consulting, and training. This includes IoT, connectivity, and cloud solutions that connect ECUs and vehicles to the platform – enabling remote debugging and data acquisition in factories.

Contact
Web: NISAR – The industrial AI
Linkedln: nisar