NISAR automates complex processes with multi-agent AI and a human-in-the-loop approach, reducing manual effort and lowering costs. Advanced AI methods such as GenAI, LLMs, and knowledge graphs enable data integration, and moderator agents allow interaction in natural language.

We combine AI expertise with many years of automotive industry experience. The founders have published on safe AI applications in collaboration with TH Ingolstadt at BAY.AI as well presented at TÜV Safe.Tech, focusing on quality assurance and requirements management.

We support through our custom-developed tools, through consulting, and training to simplify development and operational processes. This includes IoT, connectivity, and cloud solutions to connect control units and vehicles to the platform, enable remote debugging, and facilitate remote data collection in factories.











Products

View our Demos

PAMAS & AiPS

Process Automation with Multi-Agent ASystem – Industrial processes are complex and often span multiple domains. We offer a solution for a safe and accurate automation of industry processes using our Multi-Agent System (PAMAS) framework, culminating in our low-code Ai Process Design Studio (AiPS).

The Multi-Agent AI system mirrors and automates industrial processes. Implicit knowledge is captured and modeled in a knowledge graph. The agents retrieve process data from complex data sources. Human experts are provided with these AI agents to assist them in their daily tasks, thus, the experts remains ‘in the loop,’ shifting from ‘doing’ to “reviewing”, gaining capacity to focus on corner cases.

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IoT Edge Box

Even today, data from remote sources is often not accessible. Be it the physical distance or the devices not being network-enabled at all. With our Edge Connect Box we tackle this challenge: it connects data sources such as devices, ECUs, machinery or vehicles to the cloud platform, making their data available for further analysis as well as enabling remote maintenance and remote debugging. Even remote pre-integration of vehicle ECUs is possible.

Automotive R&D Tools

Automotive R&D and Test Tools

  • NIMsys – Networked Intelligent Mobile System for HAD Testing – Connecting simulation and proving ground
  • AIBOX – Automotive IoT Box for Connectivity, Debugging and Testing
  • INtest – Automotive ECU Network Injection Testing
  • Scenario Recorder – Event-trigger for Scenario Recording
  • ROS Live Browser – ROS architecture and data flow visualization over-the-air
  • ADS – Architecture Design Studio (Tool and Middleware)

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Highlight Projects

 

About us

The NISAR team combines a strong academic beckground in Ai, Robotics and CV with many years of experience in IoT and Cloud technology as well as in the automotive industry, in  SW and system engineering as well as manufacturing and homologation. We also decided to build our team immediately with two pillars, simultaneously in Germany and in China, the most dynamic market at the moment.

Our mission is to increase efficiency in industrial processes such as automotive and R&D, quality and manufacturing through a modern cloud-based tool landscape for automating knowledge-driven processes with a strong focus on usability and efficient workflows.

Success Stories: Our Partners

Research Background

Industrial Expertise

Intrigued?

Feel free to contact us: info@nisar.ai

The Locations

Currently we are operating from two locations to cover the two biggest markets, Munich for EMEA and Shanghai for the Asia Pacific region.