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Wearable Devices, Encord Team Up to Merge Muscle Signals With Visual AI Training Data

By Advos•
Wearable Devices Ltd. has signed a strategic collaboration with Encord to build multimodal Physical AI training datasets by combining wrist-based neuromuscular sensing with camera and visual data, opening a potential new commercial channel into humanoid robotics and advanced robotic manipulation.
Wearable Devices, Encord Team Up to Merge Muscle Signals With Visual AI Training Data

Wearable Devices Ltd. (NASDAQ: WLDS) announced a strategic collaboration agreement with Cord Technologies Inc., known as Encord, that pairs the company's wrist-based neural sensing hardware with Encord's Physical AI data infrastructure and visual data capabilities. The work is led by Kavana, Wearable Devices' Physical AI business unit, and centers on developing multimodal training datasets that merge neuromuscular signals tied to hand and finger movements with visual information.

The technical premise matters for robotics developers. Wearable Devices' Mudra Pro and Mudra Ultimate devices capture surface electromyography signals, which can complement camera-based data in situations where hands, fingers or objects are partially obscured. Visual systems alone often lose track of fine finger motion during manipulation tasks, so a second signal stream captured at the wrist could fill gaps that cameras cannot see. For investors, the announcement signals a possible avenue beyond consumer wearables into the data supply chain that underpins Physical AI and robotics training. Full details are available in the company's press release, and ongoing updates can be found in the WLDS newsroom.

The agreement establishes a commercial framework under which Encord can 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 as well as usage-based compensation for qualifying data collection activities. The two companies are already collaborating on data collection, testing and integration, with plans to explore applications in humanoid robotics and advanced robotic manipulation.

The importance of the deal lies in what it says about where AI training data is heading. Large language models were built on text scraped at scale, but robots need physical-world examples of how hands grasp, turn and place objects. Companies that can supply that data, or the sensors that capture it, could become strategic vendors to robotics firms. Wearable Devices describes itself as a growth company pioneering human-computer interaction through AI-powered neural input touchless technology, with consumer products including the Mudra Band and Mudra Link, and it operates a dual-channel model of direct-to-consumer sales and enterprise licensing and collaborations. Its newly launched ai6 Labs ecosystem is intended to integrate research, products and AI breakthroughs, and this collaboration fits that enterprise-facing push.

Risks remain embedded in the announcement. Future commercial activity will depend on customer demand and implementation of the collaboration, meaning the revenue framework is potential rather than contracted volume. The company's ordinary shares and warrants trade on the Nasdaq Capital Market under the symbols WLDS and WLDSW. The announcement was distributed through InvestorWire, part of the Dynamic Brand Portfolio at IBN, which provides services including editorial syndication to 5,000+ outlets and social media distribution. Readers should review the full terms of use and disclaimers applicable to the content.

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