Language models got abundant data, cheap rollouts, and automatic grading. The physical world has none of these yet. Arthaa builds the missing layer — and the ventures that ride on it.
We focus on physical-world systems — robotics, embedded & edge intelligence, and autonomy — where the hard problems are data, evaluation, and the gap between simulation and reality. These are exactly the places where AI is the unlock, not the product.
We seed a handful of deep hypotheses each year, kill the ones that don't work fast, and give real time and capital to the ones that do.
Foundational work on the hard, unsolved parts of physical AI — physically-faithful simulation, reliable evaluation, and closing the sim-to-real gap.
Eval stacks, RL infrastructure, and a data factory shared across ventures — so each one starts a year ahead of a cold-start team.
We spin out the surviving hypotheses as independent, venture-backable companies — picks-and-shovels for the physical-AI era.
Turn the world's existing video into physically-faithful, simulatable environments; drop any robot in; and ship auto-graded, sim-to-real-validated training data. Neutral to whose brain you're training.
An interactive product prototype is live — explore the World Store, Robot Store, simulator, and the graders / RL loop.
Launch the prototype →Early product explorations beyond the first venture — wireframes & sector deepdives. Browse all →