measurement · simulation · data

Reduce manipulation failures.

Robot manipulation involves more than vision and motion. Understanding physical contact remains a challenge.

We make contact something you can measure, simulate, and learn from.

Robot gripper inserting a clear tube onto a brass barb fitting on the Tensiq test bench
Tube-on-barb insertion | Tensiq test bench | Mountain View, CA | September 2026
the failure you can't see

Success rates tell only part of the story.

A gripper slips. An insertion jams. A part gets crushed.

Video and conventional evaluation metrics can show the outcome, but they don't always reveal the forces, slip onset, or contact behavior that contributed to it.

Understanding what happened at contact can help explain why a manipulation task failed.

what we do

Better manipulation starts with understanding contact.

  1. 01

    Instrumented manipulation evaluations

    We use physical contact measurements to help teams understand manipulation performance beyond success rates.

  2. 02

    Real-to-sim matching for manipulation

    We use measurements from real-world interactions to inform how contact behavior is represented in simulation.

  3. 03

    Training-ready manipulation data

    We collect and curate manipulation data tailored to the needs of robot and model developers.

One measurement foundation. Three ways to improve manipulation.

Whether you're building robots or training models, we start with the challenges you're trying to solve.

For robotic hands and grippers, with or without onboard tactile sensors.

get in touch

Let's compare notes on manipulation.

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