Iris CMX Drone

Data-driven, drone-powered insights to optimize aircraft coating maintenance across your fleet. 

Move beyond visual coating inspections
Video poster image

Introducing Iris CMX


The latest evolution of Aerofleet Coatings Management introduces Iris CMX — an advanced drone-powered inspection system developed in partnership with Donecle.

 

Iris CMX adds a new layer of precise, quantitative coating performance data, enabling:

Dry Film Thickness Measurement

µm/mil accuracy

Gloss Measurement

60°/20°

Color Data

L.A.B Values

How It Works - From Inspection to Insight

Two Inspection Systems. One Intelligent Platform.

    By combining multiple data sources into a single platform, our Aerofleet System provides a complete, accurate view of coating condition — enabling more informed, predictive decision-making.

    Three integrated data layers:

    Flight and environmental data – Understand how operating conditions impact coating performance

    High-resolution visual inspection (Iris GVI) – Full aircraft coverage with detailed surface analysis

    Quantitative measurement (Iris CMX) – Precise data on coating thickness, gloss and colour

    Together, these insights enable a consistent, standardised and predictive approach to maintenance.

    Deliver Measurable Value Across Your Fleet

    • Increased aircraft availability
    • Data-driven decision making
    • Extended coatinglife
    • Fleet-wide consistency
    • Faster inspections

    Designed for Airlines & Operators

    • Airlines and operators managing large fleets 
    • Organizations looking to optimize repaint cycles 
    • Teams focused on reducing maintenance costs 
    • Operators seeking more consistent, standardized processes

    Supporting Multiple Stages of the Aircraft Lifestyle

    • In-service fleet maintenance 
    • MRO operations 
    • OEM quality control

    Start Optimizing Your Coating Maintenance Strategy


    Speak to our Aerospace Coatings experts to explore how Aerofleet Coatings Management can support your fleet.

    Get in Touch

    Fetching the data, please wait...