Wearable Devices Ltd. (NASDAQ: WLDS)

Wearable Devices Ltd. (NASDAQ: WLDS) is a growth-stage technology company pioneering the next generation of human-computer interaction through AI-powered neural input wearables. Mudra, its proprietary wrist-worn technology, enables touchless, gesture-based control of digital devices, offering users a seamless, intuitive interface through subtle finger and hand movements. Since introducing its technology to the market in 2014, the company has pursued both business-to-business (B2B) and business-to-consumer (B2C) strategies through a dual-channel model.

The company believes the future of technology should begin with the human. Wearable Devices envisions decoding the human body to enable context-aware AI-powered technology that listens, learns, and adapts – to us.

The company envisions a future where human intent becomes the language of technology. Through non-invasive neural sensing and adaptive algorithms, the company enables more natural, personalized, and intuitive interactions with computers.

The company is headquartered in Yokneam Illit, Israel.

Products

Neural control has entered the market: commercially available since 2023 with the Mudra Band and already used by thousands of users worldwide. With its product line, including Mudra Band and Mudra Link, the company has introduced the world’s first wrist-worn neural interfaces, enabling intuitive, touchless control through natural micro-gestures: subtle finger movements and wrist flicks. Whether streaming media, controlling smart devices, or interacting with AR glasses, Mudra brings neural input into everyday life.

This early adoption isn’t just validation — it’s acceleration. With real users engaging in real environments, the company is learning fast, improving faster, and shaping a product that grows more refined with every interaction.

Mudra Band

Mudra Band is the company’s flagship B2C product, designed as a sleek, aftermarket accessory for the Apple Watch. It uses patented sEMG sensors to detect neural signals from the wrist and translates them into real-time digital commands. This allows users to control and streamline interactions between the iPhone, iPad, MacBook, and Apple TV using familiar micro-gestures like taps, pinches, or swipes — all without touching a screen.

The device features a high-resolution analog front end, IMU integration, adaptive machine learning, and ergonomic form factors for all-day comfort. Users can toggle between multiple Apple devices using the Mudra Band’s dedicated Apple Watch face, enabling a fully connected, touchless experience. The Mudra Band is optimized for low-latency, high-accuracy interactions and supports a wide range of digital applications. The Mudra Band received a CES 2021 Innovation Award.

Mudra Link

Mudra Link expands the company’s reach beyond the Apple ecosystem, offering compatibility with Android, Windows, and AR/XR platforms. The product includes the innovative Gesture Mapper feature, allowing users to assign personalized commands to gestures such as tap, pinch, flick, or twist. This functionality replaces or augments traditional input methods, supporting media controls, pointer input, and full directional mapping. A key feature of Mudra Link is its dual-mode input system (mouse mode or D-pad mode), empowering users to personalize control schemes across devices, operating systems, and user interfaces.

Mudra Link is recognized for its ergonomic design, lightweight build, and plug-and-play ease of use. It supports native integration with AR glasses from leading manufacturers and received a CES 2025 Innovation Award.

Mudra DevKit and Integration

In parallel with its consumer devices, Wearable Devices offers a Mudra Developer Kit (MDK) and integration program for enterprise and OEM partners. The MDK includes full-stack tools (hardware bands, SDK, APIs, and sample code) that allow developers and original equipment manufacturers to embed Mudra’s neural sensing capabilities into their own products and applications. For example, an AR headset maker can integrate Mudra’s sensors to enable native hand-gesture input, or a software developer can use Mudra’s API to track user gestures for novel interactions.

The MDK supports both Android and iOS and even provides real-time neural raw signal monitoring for research and prototyping. This B2B offering not only expands Mudra technology into new environments such as industrial automation, robotics, and gaming peripherals, but also fosters a broader ecosystem of Mudra-powered solutions. By lowering the barrier for others to adopt its AI gesture recognition engine, Wearable Devices accelerates innovation and garners strategic relationships.

The MDK and related licensing offerings illustrate Wearable Devices’ push-pull strategy: selling consumer products today, while seeding ‘Mudra inside’ into other companies’ devices tomorrow.

Market Opportunity & Strategy

Wearable Devices operates at the intersection of neural interfaces, wearable computing, and the rapidly expanding AR/XR sector. According to MarketsandMarkets, the global AR and VR market is projected to grow from $22.12 billion in 2024 to $96.32 billion by 2029, at a CAGR of 34.2%. The rising demand for natural, hands-free input methods positions neural wearables like Mudra as foundational components in spatial computing and smart environments.

Additionally, the health monitoring wearables market is gaining traction as neural biosignals become a promising data source. The company’s LMM (Large Motor Unit Action Potential Model) platform is being explored for predictive health monitoring, cognitive state tracking, and performance analytics. Government-level support, such as advocacy from the U.S. Secretary of Health and Human Services, further validates the sector’s momentum.

Combined with patent-protected technology and strategic alliances with companies like Qualcomm, TCL-RayNeo™, and Media Exceed, Wearable Devices is well-positioned to capture value across consumer, enterprise, and healthcare verticals.

The company’s phased market strategy anticipates this:

• Phase 1 – Enthusiast Consumer Adoption: Introduce Mudra Band as an add-on for Apple Watch (tapping into a passionate user base of early adopters and tech enthusiasts). Achieve proof-of-concept and get market feedback. This phase built brand credibility and seeded a community of users.
• Phase 2 – Expand Platform & Ecosystem: Launch Mudra Link for all users and open the Mudra SDK to developers and B2B partners. Focus on the XR/AR market and tech-savvy consumers, while enabling enterprise use-cases through the Developer Kit and strategic partnerships. The company is actively showcasing its tech to industry leaders and integrating with their platforms.
• Phase 3 – Leverage Data & Enter New Verticals: With a growing user base, Wearable Devices is collecting an invaluable dataset of neural signals and usage patterns. If data is the new oil for AI, neural signals will power the next computing revolution — enabling machines to understand human intent in real time. This fuels its Large Motor-Unit Action Potential Model (LMM) – a bio-signal intelligence platform that continuously learns from neural data to improve accuracy and enable new applications. One major new vertical is digital health and wellness: Wearable Devices is adapting its tech to track physiological and cognitive indicators from the wrist. Because the Mudra sensors capture muscle activation signals, they can potentially detect patterns related to stress, fatigue, focus, and even early signs of health conditions before traditional symptoms appear, and Wearable Devices recently announced it is expanding LMM into predictive health monitoring and cognitive analytics. This means the company could offer solutions for workplace productivity (measuring alertness), athletic training (muscle fatigue analytics), or preventive healthcare (flagging neuromuscular irregularities) – vastly broadening its addressable market. Through monitor applications, the vision is to go from controlling devices to also understanding the user, providing actionable bio-insights. The LMM platform’s AI continuously adapts to each individual’s neural profile, enabling truly personalized and proactive applications.
• Phase 4 – Ubiquitous Adoption via B2B Integration: Finally, Wearable Devices plans to drive mass adoption by aligning with major consumer tech players. By making its Mudra Data Platform available to enterprises, OEMs, and app developers, the company positions itself as the backbone for neural interaction services. By “laying the groundwork for the next neural frontier”, Wearable Devices is ensuring that when the tech giants move to adopt neural input, its platform is the mature, data-rich standard ready to be deployed.

Through these phased efforts, Wearable Devices balances B2C and B2B paths. It generates near-term revenues and user feedback via direct consumer product sales, while simultaneously developing long-term enterprise relationships and intellectual property value. This dual model not only diversifies revenue streams but also reinforces the technology’s credibility: consumer adoption demonstrates demand and usability, which in turn attracts enterprise interest, creating a virtuous cycle.

Leadership Team

Asher Dahan, Chief Executive Officer, co-founded Wearable Devices Ltd. in 2014 and has served as CEO and director since 2016. He is a seasoned executive with proven expertise in strategic planning, project execution, and business leadership. Asher oversees the company’s operations and resources, guiding major corporate decisions and long-term vision. Prior to founding Wearable Devices, he held engineering and leadership roles at Intel Haifa, specializing in high-speed interface validation. He holds a BSc in Electrical Engineering from Ort Braude College.

Guy Wagner, Chief Scientific Officer and President, co-founded Wearable Devices Ltd. in 2014 and has served on its board since inception. As CSO and President, Guy leads the company’s technological innovation and scientific direction. He is the main inventor behind the company’s core technology and brings multidisciplinary expertise in hardware design, biomedical signal processing, embedded programming, and sensor systems. He previously worked at Intel as a hardware engineer and holds a BSc in Electrical Engineering from Ort Braude College.

Leeor Langer, co-founder and CTO since 2016, is a leading expert in algorithms, machine learning, and signal and image processing. He has held senior R&D roles in the medical imaging and digital security sectors, including at Intel, and brings deep academic and industry experience. Leeor has authored several scientific papers and holds a BSc from the Technion and an MSc in Applied Mathematics from Tel Aviv University, graduating cum laude.