Wearable Devices and Encord Partner to Advance Physical AI Training Data

Wearable Devices Ltd. (NASDAQ: WLDS), a company specializing in AI-powered neural input technology, has entered into a strategic collaboration agreement with Cord Technologies Inc., known as Encord, to advance the development of training data for Physical AI. The partnership, led by Wearable Devices’ Physical AI business unit Kavana, seeks to integrate neuromuscular signals from wrist-worn devices with visual data to create richer multimodal datasets, according to a Wearable Devices (NASDAQ: WLDS) announcement.

At the core of the collaboration is Wearable Devices’ Mudra Pro and Mudra Ultimate devices, which capture surface electromyography (sEMG) signals associated with hand and finger movements. These signals can complement camera-based data in scenarios where hands, fingers, or objects are partially obscured, potentially improving the robustness of AI models used in robotics and other physical systems. The agreement establishes a commercial framework under which Encord may purchase Wearable Devices’ wrist-worn devices and use the collected data to develop datasets for third-party Physical AI and robotics developers, subject to licensing and commercialization terms.

Wearable Devices would generate revenue from device sales and usage-based compensation for qualifying data collection activities. The companies are already engaged in data collection, testing, and integration, with plans to explore applications in humanoid robotics and advanced robotic manipulation. Future commercial activity will depend on customer demand and the implementation of the collaboration.

The collaboration matters because Physical AI—artificial intelligence systems that interact with the physical world—requires large, high-quality datasets that combine multiple sensory inputs. While cameras are widely used, they can be limited by occlusion and lighting conditions. By adding neuromuscular signals that directly capture intended hand movements, Wearable Devices’ technology could fill critical gaps in training data, making robotic systems more adept at manipulating objects and understanding human gestures. This could accelerate progress in humanoid robotics and advanced manufacturing, where precise hand control is essential.

For Wearable Devices, the deal represents a commercial validation of its neural sensing technology beyond consumer wearables. The company’s Mudra Band and Mudra Link products enable touch-free control of digital devices, and its ai6 Labs ecosystem integrates research, products, and AI breakthroughs. The Encord collaboration opens a new enterprise channel, potentially diversifying revenue streams and positioning the company in the emerging Physical AI supply chain.

Encord, a data infrastructure provider for Physical AI, gains access to a unique sensing modality that could enhance its offerings to robotics developers. The partnership underscores the growing importance of multimodal data in AI development and highlights how specialized hardware can contribute to foundational AI training.

Investors can find more details in the full press release at https://ibn.fm/6wvhq and stay updated on WLDS news at https://ibn.fm/WLDS. The announcement was distributed via TechMediaWire, a communications platform focused on technology companies. TechMediaWire is part of the Dynamic Brand Portfolio at IBN, which provides wire solutions through InvestorWire and other services. For full terms and disclaimers, visit https://www.TechMediaWire.com/Disclaimer.

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