Quick Buzz Feed
Nota AI, a leading AI model compression and optimization company, and SiMa.ai, a prominent physical AI company, today announced a strategic partnership to expand their presence in the physical AI market, maximizing on-device AI performance for various industrial applications.
The strategic alliance between Nota AI and SiMa.ai is centered on integrating Nota AI's advanced AI model compression and optimization technologies with SiMa.ai's high-performance and power-efficient Machine Learning System-on-Chip (MLSoC™) product family. This synergistic combination is designed to maximize on-device AI performance, specifically addressing the demanding requirements of physical AI applications. By bringing together best-in-class hardware and software solutions, the partnership aims to overcome critical technical challenges in delivering robust and efficient AI at the edge, paving the way for innovative real-world deployments.
The partnership outlines a comprehensive plan for joint development and commercialization of on-device AI solutions, focusing initially on industrial environments such as Intelligent Transportation Systems (ITS), safety, and security. Beyond these initial sectors, the collaboration is set to expand across the full spectrum of physical AI domains, including robotics and mobility. SiMa.ai will leverage its extensive global sales channels and partner network to actively identify and pursue new business opportunities, fostering significant market growth for their combined offerings and accelerating the adoption of physical AI solutions.
A crucial aspect of this collaboration involves establishing a tight technical integration between Nota AI's NetsPresso® SDK (Software Development Kit) and SiMa.ai's Palette™ SDK at the platform level. Nota AI's NetsPresso, an AI model compression and optimization platform, will be instrumental in enabling AI models to run with greater efficiency on SiMa.ai's MLSoC products. NetsPresso facilitates efficient optimization and deployment across diverse hardware environments, capable of reducing model sizes by over 90% while preserving high accuracy, thereby enabling optimized edge AI environments for high-performance, low-power workloads.
Nota AI's core contribution to the partnership lies in its AI model compression and optimization expertise. Utilizing its NetsPresso platform, Nota AI will ensure that AI models can execute more effectively on SiMa.ai's MLSoC hardware. This optimization process involves significant model size reduction and efficient deployment, which are critical for achieving high inference performance under stringent low-power constraints. Additionally, Nota AI's generative AI-based video intelligence solution, NVA (Nota Vision Agent), will be specifically optimized for SiMa.ai hardware, targeting deployment in various industrial applications like ITS, security, and safety, and paving the way for further expansion into robotics and mobility.
SiMa.ai provides the essential hardware and software backbone for this partnership through its purpose-built, software-centric platform for Physical AI. The cornerstone is SiMa.ai's Modalix™ MLSoC™, an ultra-efficient machine learning system-on-chip that delivers industry-leading multimodal inference capabilities and exceptional energy efficiency at the edge. Complementing the hardware, the SiMa.ai Palette SDK simplifies the deployment of complex edge AI applications, offering flexibility to process real-time, multi-modal interactions. This integrated platform empowers customers to seamlessly scale high-performance, low-power AI workloads across critical sectors such as robotics, automotive, smart vision, and industrial automation.
Myung-su Chae, CEO of Nota AI, expressed enthusiasm for the partnership, highlighting how combining Nota AI's optimization technology with SiMa.ai's platform will accelerate their expansion into physical AI. He emphasized their commitment to developing deployable on-device AI solutions for real-world industrial environments. Krishna Rangasayee, Founder and CEO of SiMa.ai, underscored the critical importance of software optimization for reliable AI model execution in physical AI settings. He affirmed confidence in Nota AI's expertise to maximize AI model performance for specific hardware, which is vital for SiMa.ai's overarching physical AI strategy.
Nota AI is recognized as a pioneering company in AI model compression and optimization. Its flagship platform, NetsPresso®, empowers developers to efficiently deploy high-performance AI models on a diverse range of devices. Supporting over 40 model architectures and optimizing across more than 100 devices, NetsPresso automates the entire pipeline, from compression and quantization to deployment, ensuring superior on-device AI performance. Nota AI's solutions are applied across numerous real-world applications, including smart cities, ITS, industrial automation, security, and various physical AI implementations, enhancing efficiency and accessibility of AI.
SiMa.ai stands as a leader in Physical AI, offering a purpose-built, software-centric platform designed to deliver unparalleled performance, power efficiency, and ease of use for Physical AI applications. The company is dedicated to scaling Physical AI across critical sectors such as robotics, automotive, industrial automation, aerospace and defense, smart vision, and healthcare. SiMa.ai is driven by a team of experienced technologists and supported by top-tier investors, with its headquarters located in San Jose, California, aiming to revolutionize the deployment of AI at the edge.