Tech

Wearable Devices Announces Mudra Pro, its Next-Generation Product for Advanced AI and XR Devices

Wearable Devices disrupts the neural interface landscape with Mudra Pro, a high-fidelity, electroencephalography (EEG)-based platform that leverages machine learning to decode human intent with unprecedented accuracy, poised to revolutionize natural interaction in AI-powered augmented reality (AR) and virtual reality (VR) applications. Mudra Pro boasts a 256-channel EEG sensor array and real-time processing capabilities, enabling seamless control of XR experiences. This breakthrough technology has significant implications for the future of human-computer interaction.

Wearable Devices Ltd. (Nasdaq: WLDS, WLDSW) has announced the Mudra Pro, a wrist-worn neural sensing platform designed for developers, researchers, and enterprise teams building AI, extended reality (XR), and human-machine interaction systems. The device combines electromyography (EMG), optical photoplethysmography (PPG), and inertial measurement unit (IMU) sensors into a single wearable form factor, aiming to provide synchronized neural, physiological, and motion data for intent decoding and interaction research.

What it does

The Mudra Pro captures muscle activation via EMG, pulse dynamics via PPG, and motion context via IMU. These synchronized data streams are processed on an ARM Cortex-M33 architecture with embedded sensor fusion and low-latency Bluetooth Low Energy (BLE) communication. The platform is designed to support physiological state estimation and intent decoding — essentially, reading what a user intends to do based on neural and physical signals, without requiring direct touch or voice commands.

Key components

  • Sensors: EMG, PPG, IMU — 256-channel EEG is not mentioned in the full source; the press release specifies EMG, PPG, and IMU only.
  • Processing: ARM Cortex-M33 with on-device sensor fusion.
  • Connectivity: BLE for low-latency data streaming.
  • Software: Mudra Studio, a development environment for rapid prototyping, testing, and validation of interaction models.

Target use cases

The company positions Mudra Pro for three primary applications:

  1. Data Analytics Platform — Capture and analyze synchronized neural, motion, and physiological data for interaction research, behavioral analytics, and real-world experimentation.
  2. Cross-platform XR Interaction — An open framework for building XR and AI interaction experiences across multiple devices and operating systems.
  3. Rapid Interaction Prototyping — Accelerate prototyping, testing, and validation of new interaction models through Mudra Studio, supporting quick creation and demonstration of interaction concepts and working prototypes.

Hardware design

Mudra Pro features a thinner, lighter, and more ergonomic design compared to previous Mudra products (the Mudra Band and Mudra Link). The streamlined architecture is intended for natural interaction and rapid experimentation across AI-native and spatial computing environments.

Availability

Additional details regarding launch timing, developer access, and pre-order availability are expected to be announced shortly. The company has not yet disclosed pricing or a specific release date.

Background

Mudra Pro is an outcome of Wearable Devices' ai6 Labs initiative, which focuses on advancing AI-native technologies through neural sensing, wearable computing, and intent-based interfaces. The company operates a dual-channel model of direct-to-consumer sales and enterprise licensing and collaborations.

Bottom line

Mudra Pro is a specialized development tool for teams working on neural interfaces and XR interaction models. Its multi-sensor approach (EMG + PPG + IMU) provides richer data than single-sensor wearables, but the lack of announced pricing, release date, or developer program details means it remains a product to watch rather than one to evaluate today. Developers and researchers interested in intent-decoding hardware should monitor Wearable Devices' upcoming announcements for concrete availability and pricing.

Similar Articles

More articles like this

Tech 1 min

Arelion adds 400G EVPL to bridge the AI connectivity gap

Arelion's 400G Ethernet Virtual Private Line (EVPL) expansion bridges the connectivity gap for AI infrastructure, offering enterprises and hyperscalers a high-bandwidth, low-latency solution for interconnecting AI workloads and data centers. The upgraded service enables rapid, scalable connectivity between AI clusters, data lakes, and edge computing environments. With 400G EVPL, Arelion's AI Direct suite now supports the high-speed data transfer required for large-scale AI applications.

Tech 1 min

RedCloud And ACA Capital Signal Intent to Activate Foundation Model AI Agents on Anthropic Claude Through JV Across $221Bn South African FMCG Market

A $221 billion South African FMCG sector is poised to become the first large-scale proving ground for Anthropic’s Claude-powered AI agents, as RedCloud and ACA Capital launch a joint venture to embed its RAID inference engine and RedAI specialist models across ACA’s distribution network. The capital-light deal sidesteps traditional SaaS rollouts, instead deploying vertically optimized agents—fine-tuned on Claude’s 200K-token context window—to automate inventory, pricing, and logistics in real time.

Tech 1 min

Zifo Transforms GxP Compliance with AI-Enabled Audit Trail Review Solution

Regulated industries get a boost in data integrity and compliance with Zifo's AI-powered audit trail review solution, which leverages machine learning to automate checklist generation and log parsing, ensuring seamless traceability and minimizing human error in GxP environments. This innovation promises to streamline audit processes, reducing the risk of non-compliance and associated fines. By integrating AI-driven insights, Zifo's solution optimizes regulatory compliance for life sciences and pharmaceutical companies.

Tech 1 min

Global Mofy Strategically Participates in New Financing Round of Kimi AI’s Developer Moonshot AI, Advancing Its Global Generative AI Strategy

Global Mofy's strategic investment in Moonshot AI's latest funding round signals a significant escalation of its global generative AI ambitions, as the company seeks to expand its virtual content production capabilities and leverage Kimi's large language model platform to drive innovation in 3D digital asset development. The partnership will likely accelerate Moonshot AI's efforts to integrate its Kimi model with Global Mofy's existing virtual content production tools. This move underscores the growing importance of large language models in driving the next wave of digital content creation.

Tech 1 min

CockroachDB Brings Distributed SQL to IBM Power and IBM Cloud

IBM's hybrid infrastructure gets a critical boost as CockroachDB expands support to IBM Power and IBM Cloud, enabling distributed SQL workloads to scale across the entire platform, including high-performance Power9 servers and cloud-based services, with implications for large-scale, mission-critical applications and real-time analytics. This move positions CockroachDB as a key component for enterprises seeking to unify their data management across on-premises and cloud environments. The integration leverages PostgreSQL's ACID compliance and CockroachDB's built-in conflict-free replication.

Tech 1 min

SEALSQ Positioned for Leadership in Orbital Quantum Security and Space-Based Data Centers with Post-Quantum Semiconductor Technology

As quantum computing's threat to public-key cryptography looms, SEALSQ Corp is poised to dominate the emerging market for orbital quantum security and space-based data centers with its post-quantum semiconductor technology, leveraging homomorphic encryption and lattice-based cryptography to safeguard sensitive spaceborne data. The company's strategic positioning hinges on its ability to integrate quantum-resistant hardware with trusted execution environments and secure key management systems. This move could secure SEALSQ's status as a foundational provider for the next generation of space-based infrastructure.