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About Us
TryIto thrives on a simple discovery thesis: the world is moving toward AI systems that need to understand the physical world, but the simulation infrastructure used to train and test those systems is still fragile.
We started in deformable simulation, where instability is impossible to ignore. Cloth, contact, collision, constraints and stiff dynamics expose the deeper problem: simulation pipelines often fail long before teams know why. Expensive, time consuming and unstable.
Our belief is that the next generation of simulation tools will not just be faster solvers. They will be systems that can diagnose, stabilise, and eventually correct physical computation in real time.
The calculation layer for AI to scale.
And we're building it.
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