Aiir Innovations
Aiir Innovations, an Amsterdam company, uses AI to analyse engine borescope video while the inspection is under way. Pratt & Whitney announced its acquisition in July 2026 and is folding it into its global MRO network.
Founded in 2016 with 11 to 50 staff, it raised 2.8 million euros before the sale, including from the KLM- and Schiphol-backed Mainport Innovation Fund. The software learns from inspectors' feedback, works with any borescope and covers commercial engine types, with cloud and edge versions for hot and cold engine sections.
Christchurch Engine Centre, the Pratt & Whitney and Air New Zealand joint venture, is its first regular user, on V2500 engines, and pilots on the PW1100G and F135 are complete. KLM is named through a partner. Customer claims predate the acquisition, and whether MRO shops tied to rival manufacturers stay on under Pratt & Whitney ownership is not yet known.
No verified deployments yet
Aiir Innovations is profiled in the companies register, but no deployment has been verified against published evidence. Records are added as evidence is reviewed and graded.
Products & Solutions
3 productsAiir Inspection Cloud
Cloud-based AI borescope inspection management platform that receives, processes, and analyses borescope video and image data from engine inspections, applying trained AI models to detect and classify defects across 13+ engine types and enabling remote expert review and multi-site inspection data management.
Engine borescope inspection data is traditionally reviewed locally by the inspecting technician with limited access to remote expert review or cross-fleet defect trending. A cloud platform enables centralised quality control, expert review, and fleet-wide defect analysis.
- AI-powered defect detection across 13+ engine types
- Remote expert review and collaboration
- Multi-site inspection data management
- Fleet-wide defect trending and analytics
2 more features
- 24-country deployment capability
- Formerly includes Aiir Review (now integrated)
Technical specifications (3)
- Cloud SaaS
- Supports 13+ engine types
- 24 countries of operation
Aiir Edge Cold
On-device AI borescope inspection module for cold-section engine inspection (compressor stages), running AI defect detection locally on a Waygate MViQ+ borescope without cloud connectivity, enabled by the MVIQ-AIIRADR hardware key.
Borescope inspections in hangars or remote locations may have limited or no reliable connectivity to cloud-based AI systems. Edge AI processing on the borescope device enables real-time AI-assisted defect detection without depending on network access.
- On-device AI defect detection for cold-section inspection
- Operates on Waygate MViQ+ borescope hardware
- No cloud connectivity required during inspection
- MVIQ-AIIRADR hardware key activation
1 more feature
- Launched December 2021
Technical specifications (2)
- Requires Waygate MViQ+ with MVIQ-AIIRADR key
- Launched December 2021
Aiir Edge Hot
On-device AI borescope inspection module for hot-section engine inspection (combustor, turbine stages), running AI defect detection locally on a Waygate MViQ+ borescope without cloud connectivity, using the same MVIQ-AIIRADR hardware key as Aiir Edge Cold.
Hot-section engine inspections covering combustors and turbine stages require AI models trained specifically on high-temperature component defect patterns. Aiir Edge Hot provides targeted AI detection for these inspection zones at the device level.
- On-device AI defect detection for hot-section inspection
- Hot-section-specific AI detection model (combustor, turbine)
- Operates on Waygate MViQ+ borescope hardware
- No cloud connectivity required during inspection
2 more features
- MVIQ-AIIRADR hardware key activation
- Launched December 2021
Technical specifications (2)
- Requires Waygate MViQ+ with MVIQ-AIIRADR key
- Launched December 2021
Register notes
Notes held in the Aerostack register. Aerostack has not independently verified them.
Aiir Innovations applies computer vision AI to borescope inspection of jet engines, a process that currently requires experienced technicians to manually review thousands of video frames to identify hairline cracks, erosion, and blade damage.
Read the rest
The AI platform supports inspectors by flagging anomalies, auto-generating reports, and enabling remote review of inspection footage, reducing human error and inspection time.
The aviation MRO inspection market is large and growing, driven by aging fleet retention and post-COVID maintenance backlog.
Primary competitors are legacy NDT software vendors (Waygate Technologies, MISTRAS Group) and newer computer vision startups.
KLM's early partnership is a strong commercial anchor and provides ongoing training data.
Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.