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Wearable Devices Publishes White Paper Positioning Wrist-Worn Neural Sensing as the "Intent Layer" for Agentic AI, AR, and Robotics

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Wearable Devices (Nasdaq: WLDS) released a white paper detailing how its Mudra wrist-worn neural interface can act as an "intent layer" for AI agents, AR, and robotics. It introduces the Large MUAP Model (LMM) "neural token" representation and highlights applications in password-less authentication, payment authorization, and robotics training.

The paper describes multi-sensor intent-aware systems that combine wrist EMG, motion, and physiological data with AR feedback, and outlines two hardware tiers: Mudra Pro for consumer interaction and Mudra Ultimate for higher-resolution enterprise use.

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News Market Reaction – WLDS

+3.85%
5 alerts
+3.85% Session close to close
+19.5% Peak in 25 hr 13 min
$4.42M Market Cap
0.3x Rel. Volume

In the Jun 23 session, WLDS gained 3.85%, reflecting a moderate positive market reaction. Argus tracked a peak move of +19.5% during that session. Our momentum scanner triggered 5 alerts that day, indicating moderate trading interest and price volatility.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement deepens WLDS’s AI narrative by defining Mudra’s wrist interface and LMM as an "int...
Analysis

This announcement deepens WLDS’s AI narrative by defining Mudra’s wrist interface and LMM as an "intent layer" for agents and AR. With an effective resale shelf and mixed past AI-news reactions, investors may watch for concrete commercial adoption signals.

Key Figures

Mudra Pro sensors: 3 EMG channels, IMU, PPG Mudra Ultimate sensors: 8 EMG channels Registered resale shares: 5,082,873 Ordinary Shares +5 more
8 metrics
Mudra Pro sensors 3 EMG channels, IMU, PPG Mudra Pro configuration for context-aware consumer interaction
Mudra Ultimate sensors 8 EMG channels Mudra Ultimate configuration for high-resolution enterprise LMM use
Registered resale shares 5,082,873 Ordinary Shares Shares registered on F-3 for resale by selling shareholder
New Warrants 5,082,873 warrants at $1.51 Private placement warrants linked to registered resale shares
Potential warrant proceeds $7.7 million Maximum cash to WLDS on full cash exercise of New Warrants
Shares outstanding pre-warrants 6,546,510 shares Ordinary Shares outstanding as of May 11, 2026
Shares assuming full exercise 11,629,383 shares Pro forma if all 5,082,873 New Warrants are exercised for cash
Price vs 52-week high -98.23% WLDS trading far below its 52-week high before this AI white paper

Previous AI Reports

5 past events · Latest: Jun 18 (Negative)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jun 18 AWE keynote announcement Negative -21.5% Keynote on brain-computer interfaces and neural sensing at AWE USA 2026.
Jun 04 Mudra Pro pre-orders Positive +6.1% Opened pre-orders for Mudra Pro neural-sensing wristband for enterprise and OEMs.
May 13 Mudra Pro launch Positive +1.9% Announced next-generation Mudra Pro platform for advanced AI and XR devices.
Mar 02 Mudra Studio debut Negative -1.6% Debut of Mudra Experience Studio AI development platform at MWC Barcelona 2026.
Feb 24 ai6 Labs launch Positive +3.5% Launch of ai6 Labs ecosystem to bridge human intent and digital reality.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged announcements have produced mixed but slightly negative average moves of -2.32%, including both sharp drops and strong rallies.

Key Terms

brain–computer interfaces, electromyography, inertial measurement unit, photoplethysmography, +2 more
6 terms
brain–computer interfaces medical
"a new white paper, "From Intention to Action: How Brain–Computer Interfaces Are Removing"
Devices and systems that read, interpret or send signals between the brain and a computer to turn thoughts or nerve activity into actions, text, images or device commands. Investors care because these technologies can create entirely new markets for medical therapies, consumer products and data services, but they also involve long development times, heavy regulation, high upfront costs and ethical or safety risks—think of them as inventing a new kind of keyboard that types from your mind.
electromyography medical
"Mudra Pro (3 electromyography (“EMG”) channels, inertial measurement unit (IMU), and"
Electromyography (EMG) is a medical test that records the tiny electrical signals muscles make when they contract, using sensors placed on or in the muscle—think of it as checking the wiring and signals between nerves and muscles. Investors care because EMG is a key tool for diagnosing neuromuscular conditions and evaluating treatments or devices; clear EMG results can influence clinical adoption, regulatory decisions and the commercial prospects of related healthcare products.
inertial measurement unit technical
"Mudra Pro (3 electromyography (“EMG”) channels, inertial measurement unit (IMU), and"
An inertial measurement unit (IMU) is a small electronic device that uses internal sensors to track an object’s movement, orientation and rotation—like the motion sensors in a smartphone that know if you’ve tilted or moved it. Investors care because IMUs are core components in products from drones and smartphones to cars and industrial machines; their performance, cost and supply affect a manufacturer’s product quality, market competitiveness and potential revenue growth.
photoplethysmography medical
"channels, inertial measurement unit (IMU), and photoplethysmography (PPG)) for context-aware"
Photoplethysmography is an optical method that uses light shining into the skin to detect tiny changes in blood volume with each heartbeat, producing simple waveforms that indicate pulse, blood flow and sometimes blood oxygen levels. Investors care because it is a core sensing technology for consumer wearables and medical devices — its accuracy, cost, regulatory acceptance and data privacy implications affect product adoption, recurring revenues and valuation of companies using it.
neural tokens technical
"how the LMM translates wrist-based nerve and muscle signals into machine-readable "neural tokens""
Neural tokens are the small pieces of information an AI model reads and writes—think of them like puzzle pieces that can be letters, parts of words, whole words, or symbols—used to build and understand text or other data. For investors, token usage matters because it drives how many computations an AI requires, which affects model accuracy, processing speed and the cost or pricing of AI-powered products and services, influencing margins and competitive positioning.
reverse stock split financial
"announces 1-for-3 reverse stock split of its ordinary shares and tradable warrants"
A reverse stock split reduces a company's number of outstanding shares while raising the price per share proportionally, so the total value of each investor's holding is unchanged; a 1-for-10 split turns 100 shares worth $1 each into 10 shares worth $10 each. Companies often do this to regain compliance with an exchange's minimum price rule or to attract investors who avoid very low-priced stocks.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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A new white paper explores how wrist-worn neural sensing may reduce the alignment gap between human intent and AI agent understanding, enabling more natural interaction with AI agents and AR systems

YOKNEAM ILLIT, ISRAEL, June 23, 2026 (GLOBE NEWSWIRE) -- Wearable Devices Ltd. (Nasdaq: WLDS, WLDSW) ("Wearable Devices" or the "Company"), a technology growth company specializing in artificial intelligence (“AI”)-powered touchless sensing wearables, today announced the release of a new white paper, "From Intention to Action: How Brain–Computer Interfaces Are Removing Friction from AI & AR Interaction", that positions its Mudra neural interface as the foundational "intent layer" for agentic AI, augmented reality (“AR”), and robotics across consumer, enterprise, and industrial markets. The paper introduces the Company's proprietary Large MUAP Model (“LMM”) - a data-compounding "neural-token" representation designed as a differentiated data asset - and outlines near-term, high-value applications, including password-less identity verification and payment authentication applications and the training of robotic hands on real human muscle force and intent.

The white paper examines a central question for the next era of computing: as AI agents and AR systems become more capable, how can humans communicate intent with fewer prompts, gestures, commands, and corrections? It argues that the real bottleneck is no longer how users operate devices, but how quickly the system can read a user's intent and correct course in real time. It calls this the "intent gap”, the lag between what a user intends and what the system has inferred, and frames closing it as a continuous, real-time loop, where small ongoing corrections keep errors from piling up.

To close that gap, the paper establishes a multi-sensor framework for intent-aware agentic solutions and robotics. It describes how the LMM translates wrist-based nerve and muscle signals into machine-readable "neural tokens" that reduce per-user setup and improve as more data is collected, and how fusing those signals with physiological context and real-time AR feedback shifts interaction from discrete commands toward a continuous alignment loop between people and intelligent systems. The paper presents Wearable Devices' Mudra platform, positioned at the wrist, as the practical physical layer for this framework.

Key Themes from the White Paper

Intention, Defined: The white paper de-mystifies intent, offering a practical framework that connects intention, agency, and human–agent collaboration.

LMM for Structured Neural Representation

The paper introduces the LMM as a way to translate wrist-based nerve and muscle signals into machine-readable patterns. This may reduce setup time and help systems predict intended movement.

High-Value Commercial Use Cases (Passive Identity & Robotics)

The paper outlines immediate market opportunities, including "Passive Identity", a neuromuscular-signature-based approach to continuous authentication and transaction authorization. It also highlights how wrist-worn sensing may help address a major robotics bottleneck, allowing robotic hands to be trained on actual human muscle force and anticipatory tension rather than just visual paths.

Physiological Context Beyond Action

The paper explores how movement, muscle tone, and heart-related signals may reveal attention, engagement, and internal state. This context can help systems understand not only what a user is trying to do, but how the user is responding.

AR as the Feedback Channel

The paper presents AR as a way for AI systems to show users what they understand in real time. Visual, spatial, and haptic cues can help users and AI adjust to each other continuously.

Mudra Platform (Pro & Ultimate Tiers) as the Physical Layer of the Intentional Interface

The white paper outlines two commercial configurations: Mudra Pro (3 electromyography (“EMG”) channels, inertial measurement unit (IMU), and photoplethysmography (PPG)) for context-aware consumer interaction, and Mudra Ultimate (8 EMG channels), specifically engineered with high spatial resolution to power and scale the LMM across enterprise applications.

“As AI and AR become more capable, the interface remains the bottleneck. People try to escape the frustrating prompt–wait–correct loop by front-loading long prompts, skills, and textual context, or by micromanaging the agent step by step”, said Guy Wagner, Founder and Chief Scientific Officer at Wearable Devices. “By combining wrist-worn neural sensing with physiological context and real-time AR feedback, intent-based motionless interaction may help systems understand users faster and act with less friction, and by leveraging our proprietary neural tokens, we are unlocking zero-friction applications across security, robotics, and digital health that could give the business a powerful, defensible market advantage.”

The full white paper is available for download from the Wearable Devices Ltd. website at www.wearabledevices.co.il/white-paper-from-intention-to-action

About Wearable Devices

Wearable Devices Ltd. (Nasdaq: WLDS, WLDSW) is a growth company pioneering human-computer interaction through its AI-powered neural input touchless technology. Leveraging proprietary sensors, software, and advanced AI algorithms, the Company’s consumer products - the Mudra Band and Mudra Link - are defining the neural input category both for wrist-worn devices and for brain-computer interfaces. These products enable touch-free, intuitive control of digital devices using gestures across multiple operating systems.

Operating through a dual-channel model of direct-to-consumer sales and enterprise licensing and collaborations, Wearable Devices empowers consumers with stylish, functional wearables for enhanced experiences in gaming, productivity, and XR. In the business sector, the Company provides enterprise partners with advanced input solutions for immersive and interactive environments, from augmented reality/virtual reality/XR to smart environments. By setting the standard for neural input in the XR ecosystem, Wearable Devices is shaping the future of seamless, natural user experiences across some of the world’s fastest-growing tech markets. The newly launched ai6 Labs ecosystem accelerates this vision by integrating research, products, and AI breakthroughs. Wearable Devices’ ordinary shares and warrants trade on the Nasdaq Capital Market under the symbols “WLDS” and “WLDSW,” respectively.

Forward-Looking Statements Disclaimer

This press release contains “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, that are intended to be covered by the “safe harbor” created by those sections. Forward-looking statements, which are based on certain assumptions and describe our future plans, strategies and expectations, can generally be identified by the use of forward-looking terms such as “believe,” “expect,” “may,” “should,” “could,” “seek,” “intend,” “plan,” “goal,” “estimate,” “anticipate” or other comparable terms. For example, we are using forward-looking statements when we discuss the anticipated capabilities, advantages, benefits, potential applications and future development of our neural-input technology, products, platform, LMM, Mudra Pro and Mudra Ultimate configurations and the concepts discussed in the white paper. All statements other than statements of historical facts included in this press release regarding our strategies, prospects, financial condition, operations, costs, plans and objectives are forward-looking statements. Forward-looking statements are neither historical facts nor assurances of future performance. Instead, they are based only on our current beliefs, expectations and assumptions regarding the future of our business, future plans and strategies, projections, anticipated events and trends, the economy and other future conditions. Because forward-looking statements relate to the future, they are subject to inherent uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of our control. Our actual results and financial condition may differ materially from those indicated in the forward-looking statements. Therefore, you should not rely on any of these forward-looking statements. Important factors that could cause our actual results and financial condition to differ materially from those indicated in the forward-looking statements include, among others, the following: the trading of our ordinary shares or warrants and the development of a liquid trading market; our ability to successfully market our products and services; the acceptance of our products and services by customers; our continued ability to pay operating costs and ability to meet demand for our products and services; the amount and nature of competition from other security and telecom products and services; the effects of changes in the cybersecurity and telecom markets; our ability to successfully develop new products and services; our success establishing and maintaining collaborative alliance agreements, licensing and supplier arrangements; our ability to comply with applicable regulations; and the other risks and uncertainties described in our annual report on Form 20-F for the year ended December 31, 2025, filed on March 12, 2026 and our other filings with the Securities and Exchange Commission. We undertake no obligation to publicly update any forward-looking statement, whether written or oral, that may be made from time to time, whether as a result of new information, future developments or otherwise.

Investor Relations Contact:

Michal Efraty

IR@wearabledevices.co.il


FAQ

What does the new white paper from Wearable Devices (NASDAQ: WLDS) focus on?

The white paper focuses on using wrist-worn neural sensing as an "intent layer" for AI, AR, and robotics. According to Wearable Devices, it explains how translating nerve and muscle signals into neural tokens can narrow the gap between human intent and agent actions.

How does the Large MUAP Model (LMM) from WLDS work in wrist-based neural sensing?

The Large MUAP Model translates wrist nerve and muscle signals into structured, machine-readable neural tokens. According to Wearable Devices, this representation may reduce per-user setup time and improve intent prediction as more data is collected across consumer, enterprise, and industrial applications.

What commercial use cases does Wearable Devices (WLDS) highlight for its Mudra neural interface?

Wearable Devices highlights password-less identity verification, payment authentication, and robotics training as near-term use cases. According to Wearable Devices, wrist-worn sensing can support continuous authentication and train robotic hands on real human muscle force and anticipatory tension, beyond purely visual path learning.

What is the difference between Mudra Pro and Mudra Ultimate from Wearable Devices (NASDAQ: WLDS)?

Mudra Pro targets context-aware consumer interaction with three EMG channels, IMU, and PPG sensors. According to Wearable Devices, Mudra Ultimate uses eight EMG channels to provide higher spatial resolution and is engineered to power and scale the LMM for enterprise applications.

How does augmented reality support the intent layer in Wearable Devices’ WLDS white paper?

Augmented reality is presented as a real-time feedback channel that shows users what AI systems understand. According to Wearable Devices, visual, spatial, and haptic AR cues enable continuous adjustments between users and agents, helping maintain alignment rather than relying on isolated commands.

Where can investors access the June 23, 2026 Wearable Devices (WLDS) neural interface white paper?

The full white paper is available for download on the Wearable Devices website. According to Wearable Devices, it can be accessed at www.wearabledevices.co.il/white-paper-from-intention-to-action, providing detailed discussion of the Mudra platform, the LMM model, and example commercial applications.