Rovin is an engineering practice. We build professional-grade simulation systems, learned world models, and the systems that combine both, then carry them from specification through to production.
The vehicle, the factory floor, the terrain, the failure cases. Whatever your systems have to survive, that is what gets modelled.
Known physics is specified and stays exact. Everything else is learned from data, so the environment covers cases nobody thought to write down.
Every frame responds to the last input fast enough to close the loop, whether a person is driving it or a policy is.
Scenes stay consistent across long runs. That is the line between a demonstration and something you can test against.
From the first domain review to a system running inside your infrastructure. Specification, training, evaluation, deployment.
Simulation and world models approach the same problem from opposite ends. One specifies the world, the other learns it. Most of our work sits where the two meet.
01 / Specified
Environments built to a specification and validated against it. Deterministic, reproducible, and instrumented, so a result you get on Tuesday is the same result you get in six months. This is the work that stands up to review.
02 / Learned
Models that generate the environment as you move through it, learned from data rather than authored by hand. They cover the situations nobody wrote a rule for, which is where hand-built simulators run out.
03 / Both
The two combined into one environment. Physics you can certify where certainty matters, generated coverage everywhere else. This is the part most teams cannot buy off a shelf, and the reason most of our clients come to us.
See how it works →Delivery
None of the above ships without ordinary engineering done properly. Backends, data pipelines, system architecture, automation, and interfaces. It is the same practice that keeps our own environments running at speed, and we take it on as standalone work for teams who need it.
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