We are a dedicated team of engineers united by a passion for technology and aerospace. Our mission is to transform visual inspection in maintenance, repair and overhaul (MRO) operations, making it faster, more reliable and significantly more precise.
Our expertise spans a broad range of advanced technologies, including computer vision, AI-driven automation, robotics and high-performance software systems. Combined with in-depth knowledge of civil aerospace, covering aircraft structures, materials, safety standards and operational workflows, this allows us to bridge the gap between cutting-edge innovation and real-world aviation needs.
By bringing these strengths together, we build solutions that improve safety, efficiency and confidence across the entire inspection lifecycle.
With offices in London and Singapore, we operate internationally and support customers and partners in two of the world's leading MRO hubs.
AI Visual MRO is an advanced AI platform that helps inspectors complete visual inspections more efficiently and consistently. It combines audio transcription, computer vision and large language models to support every stage of the inspection workflow, while ensuring that the human inspector always retains full control over the final decision.
The platform uses audio AI to transcribe spoken notes into structured reports, and visual AI (computer vision) to detect a wide range of defects in real time. At the engineering level, it uses large language models to summarise findings, correlate images with notes and generate comprehensive reports for each inspected part. It also provides analytics and predictive insights to support continuous improvement.
AI Visual MRO is fully customisable and tailored to your specific inspection processes. Because every company performs visual inspection differently, each engagement begins by observing your current workflow without disruption, followed by gathering detailed requirements.
Computer vision models (YOLOv8, YOLO11, YOLO26, SAM 2, SAM 3 and others) detect a wide range of defects, both in real time and through post-processing of recorded footage. The inspector always has the final say: AI suggestions assist, but never override, human judgement.
Speech-to-text models such as Whisper convert spoken notes into structured inspection reports. This reduces manual documentation time and allows inspectors to stay focused on the part.
Large language models summarise inspection findings, correlate images with notes and generate complete part-level reports. This ensures consistent reporting across teams and shifts, and supports multi-part analysis, trend detection and predictive maintenance insights.
Inspection data is aggregated to identify recurring issues, defect patterns and process bottlenecks. Dashboards and predictive models support continuous improvement and quality assurance.
Every company performs visual inspection differently. AI Visual MRO begins with a non-intrusive observation phase to understand your current workflow, tools, constraints and quality criteria. Requirements are then gathered collaboratively to ensure the platform fits seamlessly into your existing operations.
The platform works with a wide range of camera sources:
AI Visual MRO supports semi-automated inspection using collaborative robots (cobots). Cameras can be mounted on a cobot and the inspection carried out with the help of a human operator, ideally a trained inspector. Simple machine vision cameras without on-board processing can be used, with videos and photos processed afterwards on a local server or private cloud. The cobot replicates the inspector's movements precisely and repeatably. This approach reduces inspector fatigue, increases repeatability and enables a hybrid workflow in which people and robots work together efficiently.
Compute can be deployed flexibly, depending on your requirements:
We do not develop new foundation models; instead, we specialise in training and fine-tuning established models, including:
Models are trained and fine-tuned on your specific use cases and datasets to maximise accuracy. In summary, we provide:
Every deployment includes a capability list tailored to your requirements, covering defect types, reporting formats, integration needs, hardware preferences and data governance constraints. AI Visual MRO adapts to your workflow and evolves with your inspection challenges.
AI Visual MRO offers a cutting-edge approach to detecting dents, nicks and scratches on aerospace components. In this example, in addition to detecting nicks, dents and scratches, the AI also checks for missing or incorrectly sized bolts. The AI complements the visual inspection and supports the accurate identification of damage on critical aerospace parts.
Detection of dents, scratches and other forms of foreign object damage (FOD) using AI. In this example, an AI model is deployed on an edge device (an Android device), enabling real-time visual inspection and alerting technical staff whenever an anomaly is detected.
