Our advanced sensing system is built to understand hand dynamics in all their complexity - capturing motion, posture, spatial orientation, pressure, and more.
This rich, multi-dimensional sensing technology enables new forms of control that go beyond traditional touch or gesture-based input, creating experiences that feel more natural, responsive, and intuitive.
Lab-Grade sEMG, Reinvented for Real Life
Mudra reimagines surface electromyography (sEMG), once confined to laboratory settings, into a seamless, wrist-worn neural interface. Powered by our proprietary Surface Nerve Conductance (SNC) sensor, integrated with an IMU and on-device AI, the system captures and interprets bioelectrical signals in real time, within the dynamic and unpredictable conditions of daily life.
Bringing this new level of neural interaction into a wearable device required breakthroughs across multiple disciplines, and a complete rethinking of
how signals are sensed, processed, and translated.
The result? A product that may look small, but is built on an extraordinary stack of engineering.
Understands & classifies Neural Intent, Instantly
At the core of Mudra’s intelligence is a high-resolution processing pipeline engineered to extract meaningful neural signals from a highly variable landscape. Motion artifacts, muscle crosstalk, skin conductivity shifts, environmental interference, temperature fluctuations, and natural variability in user movement patterns, all pose significant challenges. Overcoming this complexity, while operating in real time, with out-of-the-box calibration, demands major innovation in embedded AI.
Through multi-layered filtering, sEMG\IMU sensor fusion, and efficient on-device classification, the system achieves high performance: low-latency and high-accuracy. Using such algorithms, we are able to translate raw bioelectrical input into precise gestures such as tap, hold, swipe, and twist with immediate responsiveness.
Isolating Intent From Motion Noises
Human movement is inherently variable, muscle activation during a tap differs when sitting, walking, or reaching, even though the intent remains the same. Mudra’s robust algorithm is designed to operate across differing usage scenarios, dynamically suppresses electrode motion artifacts, and isolates true neural intent, for reliable recognition even during active, unpredictable movements.
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Real-Time, Low-Latency Control
Our software is optimized for ultra-low latency and low power. Processing happens entirely on-device, from ultra-fast analog-to-digital conversion to lightweight edge AI execution, so response time is immediate, without dependence on cloud compute.
Learns and Adapts to You
Every person has a unique neural signature. Mudra’s algorithm uses adaptive machine learning to continuously personalize itself to your muscle structure, movement style, and physiology. The more you use it, the better it understands you.
Designed for life in motion.
Capturing the Unseen
sEMG signals are exceptionally faint, highly susceptible to distortion from motion, environmental interference, and subtle physiological changes. Capturing them accurately, directly on the wrist, through dry electrodes, and without the controlled conditions of a lab, demanded a fundamentally new approach to analog system design. The circuitry had to amplify microvolt-range signals with minimal noise, maintain electrical stability through continuous movement and temperature shifts, and do so within the severe size and power constraints of a wearable form factor. Achieving this level of fidelity, stability, and real-world durability at scale represents a major breakthrough in neural sensing miniaturization.
Precision Analog Front-End
Custom low-noise amplification stage preserves fine neural detail through motion, heat, and environmental changes — delivering lab-grade fidelity in real-world use.
Advanced Dry Electrode Interface
Dry-contact electrodes deliver high-fidelity neural capture without gels or adhesives.
Noise-Resistant by Design
Multilayer shielding, optimized signal routing, and hardware-level filters block electromagnetic interference and muscle crosstalk at the source.
Zero-Drift, Long-Term Stability
Temperature-compensated circuitry and zero-drift amplifiers ensure consistent performance over time, with no need for recalibration.
Built for Life in Motion
Flexible PCB and spatially balanced structure maintain stable electrode contact and signal clarity through wrist flexion and daily activity.
Ergonomics Meets Electronics
Designing a wrist-worn device that houses sensitive signal pathways and microelectronics, while remaining ultra-thin, breathable, and flexible, required reengineering the physical structure from the ground up. The form had to adapt to constant wrist motion, maintain secure electrode-skin contact, and endure the physical demands of everyday use, all without compromising durability or comfort.
To achieve this, the band integrates a tri-layer mechanical architecture: a rigid internal frame provides structural stability, a breathable, biocompatible silicone outer layer ensures all-day comfort, and reinforced zones around the electrodes maintain optimal contact pressure, supporting consistent performance over long-term use.
Anatomical Fit Optimization
Precise adaptation to the wrist’s natural dynamic profile, with strategic electrode placement based on superficial nerve pathway mapping, ensuring consistent signal acquisition even during active movement.
Self-Regulating Pressure Zones
A dedicated structural design around the electrodes maintains stable skin contact and high signal fidelity without requiring external adjustments.
Intelligent Material Integration
Seamless transitions between rigid and flexible areas enable mechanical flexibility while preserving long-term structural stability, ensuring both durability and comfort.
Ultra-Lightweight Construction
Every design element was optimized for minimal weight, contributing to a natural, unobtrusive wearing experience, even during extended daily use.
Neural Input Recognition
Wearable sEMG sensor array with low power, low noise amplification.
Spatial & Postural Awareness
Real-time tracking of hand orientation and movement in space.
Gesture & Motion Understanding
Real-time interpretation of hand and arm movements, transforming intention into action.
Adaptive AI Interpretation
A self-learning system that personalizes itself to each user—minimal setup required.
