Wearable Devices and Encord Partner to Advance Physical AI Training Data

Wearable Devices Ltd. has announced a strategic collaboration with Encord to combine its wrist-based neural sensing technology with Encord's AI data infrastructure, aiming to develop multimodal training datasets for physical AI and robotics.

DC Metrowire Staff
••Technology
Wearable Devices and Encord Partner to Advance Physical AI Training Data

Wearable Devices Ltd. (NASDAQ: WLDS), a growth company pioneering human-computer interaction through AI-powered neural input technology, has entered into a strategic collaboration agreement with Cord Technologies Inc. ("Encord"), a provider of Physical AI data infrastructure and visual data capabilities. The collaboration, led by Wearable Devices' Physical AI business unit, Kavana, seeks to develop multimodal training datasets that integrate neuromuscular signals associated with hand and finger movements with visual information. This matters because it addresses a critical gap in training data for physical AI systems, potentially accelerating the development of more capable and intuitive robotic systems.

Wearable Devices' Mudra Pro and Mudra Ultimate devices capture surface electromyography (sEMG) signals from the wrist, which can complement camera-based data in situations where hands, fingers, or objects are partially obscured. By combining these neuromuscular signals with visual data, the collaboration aims to create richer, more robust datasets for training physical AI models. This is important because current physical AI systems often struggle with occlusions and fine motor tasks, and the integration of sEMG data could significantly improve their performance and reliability.

The agreement establishes a commercial framework for Encord to 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 receive revenue from device sales and usage-based compensation for qualifying data collection activities. This commercial structure is significant because it provides a clear path to monetization for Wearable Devices while enabling Encord to offer unique datasets to its customers. The companies are already collaborating on 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 implementation of the collaboration.

The collaboration underscores the growing importance of high-quality training data in the advancement of physical AI. As robotics companies seek to develop more sophisticated systems, the ability to capture and integrate diverse data modalities becomes crucial. Wearable Devices' neural sensing technology offers a novel approach to capturing human intent and movement, which could be invaluable for training robots to perform complex tasks. For investors, this collaboration represents a potential new revenue stream for Wearable Devices and validates its technology in the rapidly evolving Physical AI market. The company's ordinary shares and warrants trade on the Nasdaq Capital Market under the symbols "WLDS" and "WLDSW," respectively. The latest news and updates relating to WLDS are available in the company's newsroom at https://ibn.fm/WLDS.

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