Embedded world 2025: EMASS and Weebit Nano Collaboration on Ultra-low-power Edge AI Demonstration using ReRAM

Weebit Nano Ltd. and Nanoveu Ltd. announce a collaboration between Weebit and Embedded AI Systems Pte. Ltd. (EMASS), developer in ultra-low-power AI computing.

Through the collaboration, Weebit and EMASS are bringing together their innovative technologies to demonstrate their significant advantages for ultra-low-power edge AI applications.

The collaboration addresses the increasing demand for efficient, high-performance, and sustainable edge AI computing. EMASS’ SoC delivers energy efficiency and cost advantages, with best-in-class AI capacity. Weebit Resistive RAM (ReRAM) delivers lower power, faster RW speeds, and cost advantages compared to traditional NVM technologies like flash, and it can also scale to advanced processes to enable cost-effective NVM monolithic integration. The combined solution can deliver new levels of performance and power efficiency for edge AI.

Attendees at the embedded world 2025 conference and exhibition, Nuremberg, Germany (March 11-13, 2025) can see a live demonstration of the integrated technologies, showcasing the advantages of ReRAM-powered edge AI computing. This initial demonstration lays the groundwork for further collaboration towards development by EMASS of a fully integrated AI and ReRAM SoC, designed to push the boundaries of energy-efficient AI hardware.

Mohamed M. Sabry Aly, founder, EMASS, commented: “This collaboration represents a new era in AI hardware innovation. EMASS has recently transitioned away from MRAM technology because ReRAM is better able to support next-generation systems in IoT, automotive, and consumer electronics. By combining Weebit’s cutting-edge ReRAM with our ultra-low-power AI technology, we are setting the stage for a next-generation solution that will redefine energy efficiency for AI applications. Such integration can enhance system performance and also ensure scalability and sustainability, paving the way for smarter, more autonomous edge devices. With this synergy, we are poised to deliver unparalleled advancements in AI computing, driving meaningful impact across industries such as IoT, healthcare, automotive, and industrial automation.”

Eran Briman, VP, marketing and business development, Weebit Nano, commented: “We are delighted to work with EMASS to showcase the combined advantages of our technologies. EMASS’ chipsets deliver new levels of performance and power efficiency for edge AI applications. Our ReRAM is also designed to deliver these advantages, and by integrating it with their technology, EMASS can push the limits of AI efficiency to enable a new generation of intelligent, energy-conscious computing.”