Nothing flies until it has flown in Gazebo.
We model the airframe, the sensors and the world, then wire PX4 or ArduPilot into the loop so every behavior is exercised, measured and regression-tested before the first propeller turns.
What we build in simulation
- Airframe models — SDF vehicle models with realistic mass, inertia, motor and aerodynamic parameters. Originals, built from your aircraft's data, not a downloaded look-alike.
- Sensor models — IMU, GPS, barometer, magnetometer, rangefinder, camera and lidar plugins with configurable noise and dropout.
- SITL integration — PX4 and ArduPilot software-in-the-loop with the same firmware build you'll flash.
- HIL — the real flight controller flying a simulated aircraft, for timing and driver validation.
- Multi-UAS scenarios — tens to hundreds of vehicles, scripted adversaries, contested-link models.
- Regression harness — headless scenario runs in CI with pass/fail metrics, so a firmware change can't silently regress a behavior.
Why the drones on this site are drawings
We don't use stock photography of aircraft, and we especially don't use imagery of platforms whose supply chain we wouldn't recommend. The airframes you see here are our own reference designs — the same models that fly in our Gazebo worlds.
Simulation results you can put in a review.
Behavioral
Mission completion rate, time-to-task, path deviation, mode-transition correctness under injected faults.
Control
Tracking error, actuator saturation time, estimator covariance, response to wind and sensor dropout.
Multi-vehicle
Task de-duplication rate, coverage, residual objective after engagement, and graceful degradation as the network fails.
Want a simulation before you commit to a flight program?
A feasibility sim is the cheapest answer to "will this work?"
Start a project