Government Grant
₹6,00,000
MeitY Funding
A ₹6 lakh grant from the Ministry of Electronics & Information Technology, Government of India — backing SkyFlock's autonomous drone infrastructure.
Ministry of Electronics & IT · Government of India
Foundational autonomous drone infrastructure — from simulation to real-world deployment. Planned, flown and analysed from one browser cockpit: flyMe.
Our browser-based ground control station: plan a survey on the map, fly it on PX4 hardware, watch live telemetry, and read the analysis — without leaving the cockpit.
Link health, arming, mode, battery, GPS, altitude and speed in one status bar. ARM, TAKEOFF, HOLD, RTL and LAND are one click — with a preflight GO/NO-GO gate.
Four corners on the map become a takeoff–transit–survey–return plan with camera triggers, uploaded to PX4 as a native AUTO mission.
Link-loss watchdog, geofence, battery-triggered RTL and an audit trail for every command — running independently of the UI.
Every flight becomes a report: coverage, path error, PX4 flight health, and building-height compliance with the measurement attached.
Government grant, seed capital and IIT incubation — SkyFlock is built on institutional backing, not just conviction.
A ₹6 lakh grant from the Ministry of Electronics & Information Technology, Government of India — backing SkyFlock's autonomous drone infrastructure.
Raised seed funding and recognised under the Startup India Seed Fund Scheme — the Government of India's flagship programme for early-stage deep-tech ventures.
Building from the incubation ecosystem of the Indian Institute of Technology Ropar — with access to faculty research, labs and deep-tech mentorship.
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.
Footage from SkyFlock field tests — real airframes, real weather, real telemetry.
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 and flying on real hardware. Our autonomy stack runs 11 validated mission types in Gazebo, flyMe has commanded real PX4 aircraft in field tests, and our first customer pilot — drone-based building-compliance surveys for municipalities — is in preparation.
We are funded by a ₹6 lakh MeitY grant, seed-funded under the Startup India Seed Fund Scheme, and incubated at IIT Ropar.
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.