01.
The Future of Interaction is
Shipping Today
Wearable Devices brings neural input to life through commercial products already used by consumers, developers, and enterprise partners worldwide.
With Mudra Band and Mudra Link, we’re redefining how people control, navigate, and connect.
nerve signals from the wrist to enable seamless gesture control across everyday apps, music, calls, workouts, and more.
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Fully compatible with Apple Watch
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Ships globally to thousands of customers
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Praised by CNET, ZDNet, and Tom’s Guide
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Used daily by early adopters and accessibility advocates
Mudra Link brings our technology to new environments, from productivity tools to head-worn AR. It connects to any device that supports mouse and keyboard input, enabling developers, researchers, and creators to build the next generation of human-computer interaction.
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Bluetooth-enabled, multi-platform compatibility
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Developer SDK and APIs available
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CES® 2025 Innovation Award Honoree
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Winner of “Best Wearable Debut” at MWC 2025
02.
Project
Mind Tap
Technology Readiness
Unlike many neural interface projects still in development, both Mudra Band and Mudra Link are fully engineered, certified, and in market.
Our sensing stack (SNC technology, signal fusion, on-device processing) has been tested across diverse users, environments, and applications — reducing technical risk and shortening time-to-scale for future integrations.
Technology Readiness
Unlike many neural interface projects still in development, both Mudra Band and Mudra Link are fully engineered, certified, and in market.
Our sensing stack (SNC technology, signal fusion, on-device processing) has been tested across diverse users, environments, and applications — reducing technical risk and shortening time-to-scale for future integrations.
From Gesture to Intent: Pushing the Boundaries of Neural Input
We’re exploring the next frontier in neural interfaces: enabling control through pure intent - without visible movement. Our team is advancing a wrist-worn sensing system capable of detecting neural signals beneath the threshold of physical action - bridging the gap between motor intent and digital execution.
This research pushes beyond micro-gesture classification into a new category of intent-based interaction. Our aim is to achieve BCI-level responsiveness - without the need for implants or high-friction setups.