Onyx Robotics provides an AI‑driven simulation platform that automatically builds high‑fidelity physics models from existing sensor data, letting engineers develop and test control algorithms entirely in simulation. The system delivers real‑world accuracy and zero‑shot transfer, so trained controllers can be deployed to hardware without additional retuning, cutting engineering time and cost.
Funding
Funding not disclosed
Founders
Product
Problem
Developing and testing advanced control algorithms for robotics and autonomous systems requires extensive real‑world trials, which are time‑consuming, expensive, and often limited by safety constraints.
Solution
Onyx Robotics offers an AI‑driven simulation platform that creates high‑fidelity physics models of hardware using existing time‑series sensor data. Engineers can iterate control software entirely in simulation, achieving real‑world accuracy without physical prototypes. The platform supports zero‑shot transfer, allowing control policies trained in simulation to be deployed directly onto hardware with minimal retuning. By consolidating the workflow for diverse robotic systems, Onyx reduces engineering cycles and eliminates the need for costly physical testing.
Target Audience
Primary customers are robotics engineers, autonomous vehicle developers, and control system teams that need rapid, cost‑effective validation of hardware‑in‑the‑loop algorithms.
Features
- Automatic generation of physics models from recorded sensor data for any robotic hardware
- AI‑enhanced simulation engine that matches real‑world dynamics for control algorithm validation
- Zero‑shot transfer capability enabling direct deployment of simulated‑trained controllers to physical devices
- Integrated development environment that outputs production‑ready code for user‑owned control stacks
- Scalable workflow supporting multiple hardware platforms within a single simulation environment