dorsaVi (ASX: DVL) has announced that internal assessments of its resistive random access memory (RRAM) technology confirm its suitability for use in embedded, wearable, and AI-driven devices. The company specialises in wearable sensor technology, providing real-time movement data for clinical and workplace settings. dorsaVi’s technology aims to improve patient outcomes and workplace safety through precise biomechanical analysis.
Comparisons with industry peers at the 40 nanometer node demonstrated that dorsaVi’s technology offers highly competitive speed, retention, and endurance. The high-speed performance, with up to 200 nanosecond switching and ultra-low energy consumption, makes RRAM a compelling option for edge computing. The integration of RRAM into dorsaVi’s wearable sensors is expected to significantly reduce latency, improve power efficiency, and enable more autonomous decision-making at the edge.
The technology’s dual binary and analog modes support memory and neuromorphic computing, opening future opportunities in robotics, adaptive sensing, and advanced edge-AI systems. dorsaVi expects RRAM to become a cornerstone of its technology roadmap, offering significant enhancements in sensor responsiveness, power efficiency, and on-device computation for real-time biomechanics and movement monitoring. The company will continue internal and third-party testing to explore RRAM’s long-term stability, software integration, and miniaturisation as it moves toward commercial deployment and strategic expansion into adjacent markets.
dorsaVi chair Gernot Abl stated that the assessment supports the company’s roadmap toward delivering a new generation of ultra-efficient, AI-enabled sensor platforms. He added that integrating RRAM into edge-AI platforms is a pivotal step in the company’s evolution toward intelligent, low-power motion systems and creates commercial and technical opportunities as the company continues to lead the industry in real-time movement analysis.
