Nota AI, a leader in AI optimization technologies, is bringing its full lifecycle approach for on-device AI to Embedded World 2026 in Nuremberg, Germany, March 10–12. The company will spotlight how AI models can be optimized, lightweighted, and deployed across diverse industrial hardware platforms using its NetsPresso® technology.
Embedded World, one of the globe’s largest embedded systems conferences, draws over 1,000 exhibitors and 30,000 industry professionals, including players like AMD, Intel, and Qualcomm. Nota AI will demonstrate real-time AI deployment on edge devices, showing how semiconductor companies can accelerate optimization of high-performance AI models for chips ranging from mobile to industrial-grade systems.
The company has compressed and optimized more than 40 AI models—including small language models (SLMs), large language models (LLMs), and vision-language models (VLMs)—without sacrificing performance, and deployed them across over 100 hardware platforms. Notable implementations include Samsung Electronics’ Exynos 2600, where Nota AI’s technology powers on-device AI capabilities. Ongoing collaborations with Qualcomm and Arm highlight its footprint across the semiconductor ecosystem.
Hands-On Demonstrations and Device Farm
At Embedded World, visitors can explore Nota AI’s Device Farm, a curated set of hardware platforms optimized with the company’s technologies over the past decade. Live demos will feature computer vision and large language models running on real hardware, showing performance, efficiency, and practical industrial applications at the edge.
Industries such as smart cities, safety monitoring, and transportation will be highlighted through Nota AI’s video analytics solution, NVA (Nota Vision Agent). Demonstrations will include selective video monitoring, intelligent transportation systems, and industrial safety applications, illustrating real-world AI deployment scenarios.
Research and Thought Leadership
Nota AI will also present its latest research accepted at ICLR 2026 and the AAAI 2026 Foundation Model Workshop. The studies focus on improving efficiency and reliability in vision-language models (VLMs), extending the company’s expertise across the physical AI landscape, including vision-language-action (VLA) systems.
Tae-Ho Kim, CTO and Co-Founder of Nota AI, will host mini sessions at the booth to discuss lightweighting and optimization strategies, sharing case studies from global semiconductor collaborations. “Embedded World allows us to demonstrate how our AI technologies operate efficiently across diverse hardware and industrial environments,” Kim noted.
“Nota AI has continuously advanced lightweighting and optimization technologies that enable AI models to run efficiently across more than 100 types of hardware,” said CEO Myungsu Chae. “We look forward to sharing our expertise and real-world applications with the global embedded systems community.”
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