We are building the training ground for physical intelligence.
Robots will reshape the physical world. Before they can, they need to learn it. Kyros is the platform where that learning happens — at speed, at scale, and before a single piece of hardware is touched.
Physics-First
We start with accuracy. Our environments are built on the most advanced physics engines in the world.
Researcher-Driven
Built for the engineers and researchers who feel the pain of simulation infrastructure daily.
Open Ecosystem
We are building the Hugging Face of robot training environments — community-driven, openly contributable.
We asked one question.
Every week, robotics engineers around the world spend months building simulation environments that could be shared — but aren't. Reward functions are rewritten from scratch at company after company. Training curricula are reinvented constantly. The knowledge exists. The tooling doesn't.
Kyros started with a simple observation: the best physics engines in the world are free. Genesis can simulate a manipulation task 430,000 times faster than real time. MuJoCo has been battle-tested by DeepMind for a decade. NVIDIA Isaac runs on the world's best hardware.
But none of them come with a kitchen. None of them come with 10,000 object variations. None of them come with a training curriculum that was already validated on a real robot.
That is what Kyros builds. We are the application layer that transforms a physics engine into a production-ready training system.
Why does every robotics company build the same simulation infrastructure from scratch?
The question that started Kyros.
Built by a builder.
Aly Maknojiya
Aly founded Kyros on the belief that the bottleneck to physical AI isn't the robots, it's the environments they learn in. He works directly with humanoid companies to give them the simulation infrastructure they need to train faster, validate smarter, and ship to the real world with confidence.