Built by engineers who've shipped before.
We're a team of robotics and AI engineers building open simulation infrastructure that drone autonomy teams use to accelerate development, validation, and release of systems that perceive the world and act in it.
The people building it.
Eldaniz Babayev
Eldaniz has spent years working on 3D scene representation and motion planning in both research and production environments. He authored peer-reviewed work on Neural Radiance Fields and Signed Distance Field representations, and previously shipped real-world perception systems running under tight hardware and latency constraints. His expertise spans the full stack from neural reconstruction to deployment on edge hardware.
Sanan Garayev
Sanan completed an MS in Robotics and AI at UCL before joining Baykar's drone autonomy team, where he built navigation and on-board perception systems for defense applications. He has deployed neural networks on flight-grade hardware under strict compute budgets, and developed internal simulation tools used to validate flight stacks before deployment. His work sits at the intersection of perception, control, and embedded systems.
Now hiring.
Senior Autonomy Engineer
Own the autonomy bridges and the PX4, ArduPilot, and ROS 2 integrations.
Neural Scene Reconstruction Engineer
Lead the Gaussian-splat reconstruction pipeline and the sensor-accurate rasterization stack.