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RTX’s Pratt & Whitney pushes AI into aircraft engine inspection work
The Apex Times

THE APEX TIMES

Business/The Apex Times/Jul 15, 6:09 AM EDT

RTX’s Pratt & Whitney pushes AI into aircraft engine inspection work

Pratt & Whitney, a business of RTX, said it is expanding inspection capabilities with AI-assisted borescope software, integrating technology from Amsterdam-based Aiir Innovations.

2 min readEditor-approved Apex article

RTX (NYSE: RTX) said its Pratt & Whitney business is advancing how it inspects aircraft engines by adding artificial intelligence to borescope-based checks. The move centers on AI-assisted software that helps review internal engine imagery, a task that is typically used to spot wear, deposits, or damage in hard-to-reach components without taking engines fully apart.

According to the report, Pratt & Whitney plans to expand its engine inspection capability by acquiring Amsterdam-based Aiir Innovations and integrating its technology into Pratt & Whitney’s inspection workflow. The approach is positioned as a step toward faster review and more consistent interpretation of inspection images.

Aiir Innovations is described in the report as providing the AI-powered borescope software used to analyze inspection images. Borescope inspection refers to using a small camera inserted into the engine or other equipment to capture internal visuals that technicians then evaluate for maintenance needs.

RTX did not disclose, in the cited reporting, specific performance results, timing for deployment, or which particular engine programs or operators would be covered first. The post also did not provide financial terms for the acquisition or the size of the technology team being folded into Pratt & Whitney.

Pratt & Whitney operates in a sector where maintenance, repair, and overhaul (MRO) decisions can carry significant cost and operational impact for airlines. Inspections that more reliably identify issues early can reduce the chance that problems escalate into unscheduled maintenance, while also potentially improving the efficiency of planned work.

The company’s interest in AI-assisted analysis fits a broader push across aerospace maintenance toward using software to standardize inspections and reduce variability between inspectors. For engine shops and service providers, image review can be labor-intensive, and AI tools are often used to flag patterns or anomalies that may be subtle in borescope footage.

Still, key details were not included in the reporting tied to the announcement. It remains unclear what validation steps the software has completed, how it performs across different engine types and borescope setups, and whether results are being used to guide technician decisions directly or serve as a decision-support layer.

What to watch next is how Pratt & Whitney communicates adoption milestones, including any rollout to specific inspection stations, engine models, or customer maintenance networks. Investors and industry observers will likely focus on whether RTX links the technology to measurable outcomes such as reduced inspection time, improved detection consistency, or lower maintenance turn times, none of which were specified in the cited report.

Why It Matters

  • AI-assisted interpretation of borescope images could help maintenance providers standardize inspection quality and reduce time spent reviewing internal engine visuals.
  • More consistent detection of engine wear or damage can influence maintenance planning for airlines, potentially lowering the risk of unexpected work.
  • The move highlights how major engine makers are increasingly applying software and analytics to MRO services, not just manufacturing.

Sources

Key Facts

  • RTX’s Pratt & Whitney business is expanding engine inspection capabilities using AI-assisted borescope software.
  • The update involves the acquisition and integration of Amsterdam-based Aiir Innovations.
  • Borescope inspection uses a small camera inserted into equipment to capture internal engine visuals for maintenance evaluation.
  • The reporting did not specify acquisition terms, deployment timelines, or targeted engine programs.

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