The Training Layer
for Physical AI.

Physical teleoperation requires expert operators at $25–$150/hr. Large-scale data collection is prohibitively expensive for most robotics teams.

A robot skill needs thousands of demonstration episodes. An in-house team takes two months to collect 1,000 episodes. A distributed VR crowd does it in two days.

Billions of hours of egocentric video exist online — but they carry no action labels, no proprioception, and no contact physics. They can't teach a robot how to grasp.

Cheaper than Teleop.
Better than Pure Sim.

SIM XR captures real human intelligence — the way people naturally grasp, manipulate, and reason — inside a physics-accurate virtual environment. The result: high-quality training data at a fraction of the cost.

Submits a task spec and budget. Receives a validated, benchmarked dataset ready for model training.

Distributes tasks, validates data quality, and routes payments. We keep the margin — our flywheel grows with every episode.

Global users play gamified tasks in VR. Their actions are recorded as clean physics trajectories — paid per validated episode.

The Gamification
Layer.

Our XR & metaverse expertise lets us wrap any data collection task in a compelling game loop — immersive, rewarding, and genuinely fun. Users participate not just for pay, but because it's engaging.

We replay validated human trajectories inside simulation to generate perfect synthetic sensor data — RGB-D, LiDAR — for training Vision-Language-Action models.

We combine 3DGS for absolute photorealism with rigid-body physics, creating digital twins indistinguishable from reality.

Using NVIDIA Cosmos World Foundation Models, we generate millions of environment variations, exponentially scaling Imitation & Reinforcement Learning.

Georgy
Molodtsov