Wearable Devices Ltd. (NASDAQ: WLDS) has released a new white paper outlining how its Mudra neural interface platform could serve as an “intent layer” for agentic artificial intelligence, augmented reality and robotics applications. The paper introduces the company’s proprietary Large MUAP Model (LMM), which translates wrist-based nerve and muscle signals into machine-readable “neural tokens” designed to improve intent recognition, reduce user setup requirements and enhance system performance as additional data is collected.
The white paper also highlights potential commercial applications including passwordless identity verification, payment authentication and robotic hand training based on real human muscle force and intent. Wearable Devices said the framework combines neural sensing, physiological signals and real-time AR feedback to help close the “intent gap” between user actions and system understanding, with its Mudra Pro and Mudra Ultimate platforms positioned to support consumer, enterprise and industrial use cases.
According to the company, the Mudra platform interprets neural signals from the wrist to enable touch-free control of digital devices. The newly introduced Large MUAP Model leverages machine learning to analyze motor unit action potentials (MUAPs) captured by the company’s sensors, converting them into tokens that AI systems can process. This approach aims to make interactions more intuitive by reducing the need for explicit commands or extensive user calibration.
The implications for business and technology leaders are significant. As agentic AI—systems that can act autonomously on behalf of users—becomes more prevalent, reliable intent detection is critical. Wearable Devices’ neural tokens could provide a more natural interface for AI assistants, AR headsets, and robotic systems, potentially transforming how humans interact with machines in industrial, enterprise, and consumer settings. For example, in manufacturing, workers could control robotic arms with gestures, while in healthcare, surgeons might manipulate AR overlays during procedures without breaking sterility.
Wearable Devices also sees applications in security and authentication. By using unique neural signatures, the platform could enable passwordless identity verification and payment authentication, offering a biometric alternative that is harder to spoof than fingerprints or facial recognition. Additionally, the technology could be used to train robotic hands by capturing real human muscle force and intent, accelerating the development of more dexterous robots.
The white paper positions the Mudra Pro and Mudra Ultimate as key products for this vision. The company has been developing its neural input technology for several years, with its Mudra Band and Mudra Link already available for consumers. The launch of the ai6 Labs ecosystem further accelerates this work by integrating research, products, and AI breakthroughs.
For leaders in technology and business, the ability to bridge the “intent gap” could lead to more efficient workflows, safer operations, and new product categories. As AR and robotics adoption grows in sectors like logistics, healthcare, and engineering, neural interfaces may become a standard input method. The full white paper is available at this link, and more information about Wearable Devices can be found in their newsroom at ibn.fm/WLDS.
