Foundational autonomous drone infrastructure — from simulation to real-world deployment.
The React + FastAPI ground control station operators use for mission planning, live telemetry, and deployment control. One pane of glass from briefing to touchdown.
The ROS2 Humble autonomy layer — MAPF/CBS path planning, PPO-trained collision avoidance, and a MAVSDK/PX4 hardware bridge. The intelligence that makes a fleet a swarm.
Every flight generates telemetry that feeds back into the training pipeline — automatic model evaluation, promotion, and deployment. The swarm gets smarter while you sleep.
Third-party mission behaviors and policies plug in without forking core code. Extend the platform, don't rebuild it.
PPO policies auto-retrain from flight data and auto-promote when evaluation gates pass. No manual model shuffling.
Ground-truth coverage computed from position logs — never timer-based proxies. Numbers you can stake a mission on.
Geofencing, heartbeat monitoring, Return-To-Launch, and full audit trails — present from day one, not bolted on later.
The same stack that runs in Gazebo deploys to real Pixhawk and Pi 5 hardware. What you validate is what you fly.
Every flight makes the swarm smarter. The Base Feedback Layer connects all six stages into a single, continuously improving system.
The SkyFlock substrate — mission registry, session identity, plugin SDK, and safety chain — took months to build and is the defensible core of the platform.
Every layer is independently testable, every mission is replayable, and every flight feeds the next training cycle. This is infrastructure, engineered to outlast any single mission type.
We are no longer proving autonomous swarm drones can work. We are proving this can become foundational autonomous drone infrastructure.
SkyFlock UAViation Pvt. Ltd. is a deep-tech startup building foundational infrastructure for autonomous drone operations. We are based in India and focused on the hardest part of drone autonomy: not flying a single drone, but coordinating intelligent swarms that learn from every mission.
The SkyFlock platform is simulation-complete today. Our autonomy stack runs 11 validated mission types in Gazebo, our ML policies are trained and continuously improving, and our plugin architecture allows any team to extend the platform without touching core code. We are approaching first real hardware flights.
We are looking for research collaborators, enterprise early adopters, and operators who want to be at the frontier of autonomous swarm deployment. If that is you, let's talk.