Nota AI Spearheads On-Device AI Revolution at Embedded World 2026

NUREMBERG, Germany – March 09, 2026 – As the tech world converges on Nuremberg for Embedded World 2026, South Korean firm Nota AI is poised to demonstrate a critical leap forward in artificial intelligence: running complex, powerful AI models directly on small, everyday devices. The company will showcase its end-to-end solutions that take AI from a cloud-based luxury to an on-device necessity, a move set to redefine industries from smart cities to consumer electronics.

At the heart of its presentation are live demonstrations of Large Language Models (LLMs) and advanced computer vision systems operating in real-time on hardware from industry giants like Qualcomm and Arm. This is not a theoretical exercise; it’s a display of market-ready technology already being adopted by global leaders, signaling a major shift in how and where AI processing occurs.

The Strategic Edge in a Booming Market

The push for on-device, or edge, AI is one of the most significant trends in technology. The global Edge AI market, valued at over $35 billion in 2025, is projected to surge past $385 billion by 2034, driven by the need for low-latency, privacy-preserving, and real-time data processing. While giants like Intel and specialized platforms such as Edge Impulse compete in this burgeoning space, Nota AI has carved out a crucial niche through deep-seated partnerships with the world's leading chipmakers.

Most notably, the company's optimization technology is a core component in Samsung Electronics' forthcoming Exynos 2600 mobile processor. This continues a multi-year collaboration that has seen Nota AI's software integrated into previous Exynos chips, enabling sophisticated on-device generative AI features for Samsung's flagship Galaxy smartphones. By providing the essential software that allows these advanced chips to perform, Nota AI has positioned itself as an indispensable enabler in the high-stakes race for AI supremacy in the semiconductor industry.

This strategic importance extends to collaborations with NVIDIA, where Nota AI is a Premier Member of the Inception program and part of the global partner program 'Connect.' These partnerships provide the company with early access to new AI frameworks and joint marketing opportunities, cementing its role not as a mere vendor, but as a co-developer shaping the future of AI-enabled hardware.

Under the Hood: Optimizing AI for the Real World

Nota AI's core technological advantage lies in its proprietary AI model optimization platform, NetsPresso®. The platform specializes in a process called “lightweighting,” which can shrink massive AI models by over 90% without significantly sacrificing performance. This compression is what allows generative AI models, which typically require immense computational power, to run efficiently on resource-constrained devices like smartphones and security cameras.

Having successfully optimized over 40 distinct AI models for more than 100 different hardware devices, the company has proven its technology is both powerful and versatile. To visualize this breadth of experience, Nota AI's booth at Embedded World will feature a 'Device Farm'—a collection of chipsets from major global semiconductor companies, all running AI models optimized by NetsPresso. This exhibit provides tangible proof of the company's hardware-agnostic approach.

Beyond optimization, Nota AI is pushing the boundaries of what on-device AI can comprehend. Its video analytics solution, NVA (Nota Vision Agent), is powered by a Vision-Language Model (VLM) that allows it to understand the full context of a scene, not just identify objects. This enables NVA to detect complex events like a person falling or an unauthorized intrusion with remarkable accuracy and without extensive pre-training. The company’s leadership in this area is further validated by recent research papers on improving VLM efficiency and reliability, which have been accepted at the prestigious ICLR and AAAI conferences in 2026.

From Code to Concrete: AI in Smart Cities and Industrial Safety

The true measure of Nota AI's technology is its impact outside the lab. The NVA solution is already being deployed to solve critical challenges in public and private sectors, transforming security, safety, and urban management.

In Pyeongtaek, South Korea, the company’s technology powers an Intelligent Transportation System (ITS) that analyzes traffic flow in real-time to optimize signal timing, reducing congestion and improving pedestrian safety. This application demonstrates the potential for edge AI to make cities smarter and more responsive without a complete overhaul of existing infrastructure, as NVA is compatible with a wide range of existing CCTV equipment.

In industrial settings, the same technology is used for safety monitoring, autonomously detecting workplace accidents or identifying security breaches in restricted areas. Because the VLM-powered system can understand context, it can be deployed rapidly—often within a few weeks—and adapts to new environments without the lengthy data collection and retraining cycles required by traditional computer vision models. This combination of advanced capability and rapid deployment makes it a compelling solution for businesses looking to enhance safety and operational efficiency.

A Glimpse into the Future at Embedded World

At Embedded World 2026, attendees will have the opportunity to see these technologies in action. Beyond the live demos and the Device Farm, Nota AI’s CTO and Co-Founder, Tae-Ho Kim, will host sessions detailing the company’s optimization strategies and real-world case studies.

The company’s presence in Nuremberg is a clear statement of intent. It is moving AI from the theoretical to the practical, making it more accessible, efficient, and integrated into the devices that surround us. As CEO Myungsu Chae stated, the goal is to showcase a technology that is not limited to a single architecture but is ready for diverse, global deployment.

"Nota AI has continuously advanced lightweighting and optimization technologies that enable AI models to run efficiently across more than 100 types of hardware without being limited to a single device architecture," said Myungsu Chae, CEO of Nota AI. "Through Embedded World, we look forward to sharing how our technologies operate across diverse global hardware environments and how they are being applied in real industrial settings."