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Zeromatter gives your team a working copy of the world to build, test, and train anything that moves or senses.

Aerial view of a simulated city block, half wireframe and half lit

Solve the hard parts in bits, before you move a single atom.

Run tests that can’t happen in the real world.

You can’t risk a crash to validate every software change, or risk a runway incursion. You can’t wait for rain to ship your next release. Autonomous systems must be tested against every edge case. In Zeromatter, you can run them all, as many times as it takes.

Real-world data collection is slow and expensive… and it’s unnecessary.

If the sim-to-real gap is low enough, and the diversity high enough, there is no reason to ever collect real-world data to solve your autonomy and robotics problems. Zeromatter exists to help everyone in physical AI achieve this acceleration.

Waiting for the robot to exist means that you are wasting time.

Zeromatter enables teams to start developing vehicles, sensors, frameworks, models, and policies before they even have production hardware. Let your machine learning team train and test at the speed of the modern world.

The Zeromatter
Platform

Every sensor, modeled from the physics up.

Cameras, lidars, radars, and infrared sensors, simulated down to rolling shutter, lens distortion, and rain on the lens. Generate sensor data faster than the real world ever could.

A simulated hexacopter seen from below against clouds, its spinning propellers bent into curved arcs by the camera’s rolling shutter

Worlds at planet scale.

Environments generated from your drives, your flights, HD maps, public data, or completely synthetically at the scale of entire cities.

A generated city seen from high above through breaking clouds, the curve of the horizon beyond

One engine for every kind of physics.

Every physics domain coupled in one in-house engine, with the accuracy to train your deployable policies.

Measured against reality.

A minimal sim-to-real gap, with receipts. We measure the real world in our sensor, lidar, radar, and robotics labs, and with our own data-collection platforms, so we can show that our reflection of reality matches it.

  • A red laser on an optical bench, its beam scattered onto a white screen
  • A camera at the glowing port of an integrating sphere, being calibrated
  • A dried oak leaf mounted in a sample holder for spectral measurement

Your models, our worlds, one solution.

Our multi-agent co-simulation framework lets you connect the models you already have, in the languages you already use. Run large scenario sweeps in your own cloud and review every result in one place.

Enabling both agents and people.

Copilots, MCPs, CLIs, and web tooling to build, run, and analyze scenarios, through programmatic and declarative interfaces. We have the tools for you and your agents to get the most out of the Zeromatter platform.

Stop waiting on the real world.

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