Giving robots an afferent nervous system.

Preload pairs everyday video with scalable, synchronized multimodal sensing, capturing how hard human hands hold, press, and let go.

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The problem

Video flattens the physical world

The physical world is a dense cloud of force, contact, and motion. Video captures only what a camera can see: a flat projection of it.

Better model architectures can't recover what was never measured. Each sensor we add brings the data closer to the real world.

Our solution

End to end, from sensors to automation

  1. Collect

    Capture video with the right sensors for each task.

  2. Clean

    Synchronize, filter and annotate the data for quality.

  3. Evaluate

    Train models and measure them against ground truth.

  4. Deploy

    Turn validated models into automated solutions.

We choose the best mix of sensors for each task, from video and motion to force and EMG, and carry it all the way from collection to automation.

Who we serve

Teams whose models have to touch the world

Why Preload

Built by people who decode neural data

Our team has studied and worked at

  • Johns Hopkins University
  • Caltech
  • University of Waterloo
  • University of Toronto
  • University of Maryland
  • Georgia Tech
  • Amazon
  • Neuralink
  • Paradromics
  • Neural data experts

    Decoding high-bandwidth neural signals at leading BCI companies.

  • The full stack, in-house

    Collection, evaluation, policy training, and real-hardware testing.

  • Built for real deployment

    We start from industrial tasks that have to work, not demos.

  • From labs to factories

    Industrial access to real tasks, and a close loop with model teams.

Contact

Get in touch

Help us reinvent robotics inference.