nir-vana innovation network

The Company’s core technology is AI model optimization, and they have developed a platform that anyone can accelerate their AI development. This platform is a development pipeline that enables developers to build, optimize and deploy vision AI models faster and better. It typically takes 6-12 weeks using conventional tools to select, train, optimize, and deploy a vision DNN(Deep Neural Network). It makes developers can create and deploy high-performance models at the edge in three days. The platform uses neural architecture search to find the best model for your application and hardware quickly, then trains the model in a hardware-aware manner to customize accuracy and latency for your processor. Then it applies model compression and acceleration to make your model small and fast without sacrificing accuracy. Finally, their platform generates executable code and packages it in a form that can easily be integrated into your application. While developers optimize model accuracy and latency, It can minimizes the time and money required to build these models. So far, AI models developed through their platform are commercially deployed on more than 45K devices. The company has been developing vertical solutions using this platform for mobility and the smart city sector. • For the mobility market, DMS, a driver monitoring system, can monitor the driver's behaviors as safety assistance. • For smart city solutions, their model can analyze the traffic flow in intersections and crossings. It can detect and classify various traffic classes (e.g. trucks, buses, special-purpose vehicles, and pedestrians). The use cases above are already commercialized in the market based on the platform and their expertise in model optimization. As a software and professional engineering provider, it is key to partner with other companies that can complement each other's limitations and secure general scalability. Not only the cases above, they’ve also developed other AI applications in multiple industries e.g. safety & surveillance, office personnel management etc. As their platform is not limited to specific domains, they believe there is a strong motivation for developing edge AI in other markets. One of the main domains they’re considering is the smart factory or smart farm sector, as there is a big potential of digitalization and edge AI. So it’d be great to find a partner who can talk about potential collaborations in this category.