Aerospace & Aviation AI for the GCC

Novatelia contributed to an AI maintenance system for a regional airline’s fleet of jets. The system flagged an anomaly in one plane’s engine vibration pattern that was invisible to routine checks. Maintenance inspected the engine and found a part wearing out prematurely; replacing it ahead of failure averted a potential in-flight incident. As a result, the airline reported improved reliability and a decrease in flight cancellations due to technical issues.

We developed an AI module that airlines integrate with their flight planning software. It considers historical data, winds, and real-time airspace constraints to suggest optimal routes and altitudes for fuel efficiency. During testing, on certain long-haul routes it managed to save an average of 5% fuel per flight by recommending altitude changes to catch better tailwinds, significantly reducing costs and emissions.

For an aerospace manufacturing facility, Novatelia implemented AI in drones that inspect airplanes on the assembly line for quality control. The drones use computer vision to scan rivet lines and surface quality, comparing to CAD models. This automated many tedious inspection tasks – any deviation is flagged for human review. The factory saw inspection times drop and consistency improve, with AI catching fine defects that might escape the human eye.

In a conceptual project, we provided an AI planning system for a satellite constellation. The AI schedules ground station contacts and data downloads by predicting cloud cover and satellite power levels, optimizing the science data return. It also manages the constellation’s dynamic reconfiguration when one satellite went unexpectedly offline, demonstrating resilient autonomy in space operations.