Nisar Autonomy GmbH

NISAR automates complex processes through a multi-agent AI system with a strong human-in-the-loop approach. It reduces manual effort, lowers costs, and shifts experts from task execution to result review, freeing them for more challenging cases. By leveraging advanced AI techniques like GenAI, LLMs, data science, knowledge graphs, and logic models, it ensures optimal solutions. The system integrates data into a coherent context using embeddings and knowledge graphs, while moderator agents enable natural language problem resolution.

Use Cases:

• Problem resolution in Quality Assurance
• Automating processes like Requirements Engineering and Test Case generation
• Accessing knowledge from legacy databases
• Automating report generation

NISAR blends a strong AI foundation with extensive automotive industry experience. The founders, with PhDs and over 10 years in automotive leadership, deeply understand industry standards and safety requirements. Collaborating with TH Ingolstadt at Bay.AI, NISAR has published research on safe AI applications, presented at TÜV Süd’s Safe.Tech. Unlike quick-win AI solutions, NISAR tackles complex industrial processes like production quality assurance and requirements engineering.

Type

Small and Medium sized Enterprise

Country

Germany

Website

http://nisar.ai