Simulation Infrastructure for Physical AI
Trekion rebuilds real facilities as photoreal and physics-accurate simulation environments and assets, so you can train and evaluate your robots before they reach the actual site.
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Real-world data collection and policy evaluation cannot scale.
Robot data is scarce
Robots need task-specific data, but collecting it requires site access, supervision, and engineering time. That makes it expensive to scale.
Off-the-shelf environments and assets fall short.
Off-the-shelf environments and assets rarely match your site or its physics. A simulation you cannot trust is not worth building.
Physical testing is costly and hard to repeat.
Testing requires hardware, people, and access to the right space. Some tests are impossible to run.
From a real space to a tested robot.
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Products.
Environment Creation
Your site, or any space, rebuilt as a photoreal and physics-accurate scene you can train and test in.
Explore environment creation
SimReady Assets
From a product photo and specs to a physics-ready asset with mass, dimensions, material, and joints where needed. Exports to USD, MJCF and URDF.
Explore SimReady assets
Synthetic Training Data
In developmentAugment your real-world teleoperation data with new trajectories generated in simulation, so a few demonstrations become a larger training set.
Talk to usCurrent success rate
86%
Latest checkpoint
SmolVLA Baseline
Best success rate
100% pass
Evaluation
In developmentRun your policies against scenarios built from your own site.
Talk to usTell us what you are building.
A 30-minute technical call. We will map the pipeline to your stack and put together a sample scene from your spec.
- 30-minute technical call
- Straight to the founders
- A sample scene from your use case
Common questions.
How is this different from benchmark evaluation?
Benchmark platforms score your policy on standard task suites. We rebuild the facility it will actually ship to: that site's racking, floors, lighting, and traffic.
Why does site-specific matter? Is generic sim not enough?
Generic simulators reproduce the task but not your building. They do not have your racking, floors, label formats, lighting, or the traffic a fleet actually meets. Work on real deployments keeps showing that grounding a simulation in the specific site is what makes the results worth acting on. Generic gets you part of the way there. The site is the rest.
Which stacks does it work with?
Scenes and assets export to OpenUSD, Isaac Sim, MuJoCo, and Gazebo.
Do you need access to my facility?
For a site twin, yes: scans, video, or floor plans. For generated environments and asset packs, you can start without any facility access.