Preload

Pairs video with synchronized multimodal sensing to capture force, motion, and human intent for physical AI and robotics.

Past recognitions

About Preload

Designing and iterating a multimodal hardware stack (currently ego + tactile gloves + EMG) to collect rich and scalable datasets for physical AI. Also interested in how we can use this technology to advance surgery. Built by PhD founders (Johns Hopkins, Caltech) with world-class expertise in brain-computer interfaces (Neuralink, Meta, Paradromics)

Products

  • Preload

    Robotics & Autonomous Systems

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    An integrated sensing-to-automation offering combining a head-mounted camera, tactile sensor glove, and forearm EMG band with demonstration collection, robot training, evaluatio...

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