Drone Airflow Cleaning

AIr™ is the patented drone airflow cleaning technology that uses a drone’s own rotor wash for waterless, non-contact surface maintenance.

Unlike water- or brush-based approaches, drone airflow cleaning enables compatible aircraft to perform maintenance work without carrying water, brushes or a dedicated cleaning payload.

Drone airflow cleaning of solar panels using AIr™

Solar Cleaning

Autonomous airflow removal of dust helps maintain solar-panel performance without water or chemicals.

Developed by Aerial Agency — taking its name from the concept of AI agents, embodied intelligence that performs physical work in the real world — the patented technology combines aerodynamics, control software and AI to move drones beyond inspection towards useful physical work. As a result, AIr™ enables existing drone fleets to perform maintenance work without requiring a dedicated cleaning aircraft.


The most recent extension of that patented method is AIr·ION — ion-assisted rotor airflow for the fine-residue cleaning that bulk downwash alone cannot reach. In particular, it addresses residual dust that may remain after loose, mechanically mobile material has been removed.

Drone airflow cleaning of glass roofs to remove the residual water film.

Glass Facades

Removes dust or residual water from glass roofs and facades, restoring transparency and reducing manual labor at heights.

Zero Payload.

Infinite Applications.


Designed for surfaces where liquid use, abrasion, or manual access are constrained, AIr™ introduces a new approach to infrastructure cleaning.

Frost prevention on orchards using drone airflow cleaning.

Agriculture

Clears dust from greenhouse glass or plastic panels, maximizing sunlight exposure or helps prevent frost on orchards and blossoms.

Drone airflow cleaning method AIr discussed for space exploration.

Space Exploration

Applicable to the cleaning of vital sensors and solar panels in harsh extraterrestrial environments to help maintain mission-critical performance.

(photo: NASA/JPL-Caltech/ASU/MSSS)