Euan Wielewski is the co-founder and CEO at Anomalous Technologies, a start-up based in Edinburgh, Scotland using the latest machine learning and artificial intelligence (AI) technologies to enable better quality control of manufactured components.

As aerospace engineers we know that quality control and inspection of flight-critical hardware is essential to guarantee safe operation of aircraft. Human visual inspection is a subjective and analogue process, which means that flight hardware is typically double and triple-checked to high levels of accuracy. This is where the AI tools developed by Anomalous Technologies are invaluable. By making inspection digital, operational traceability is immediately enhanced. Furthermore, digitisation allows the human inspection process to be accompanied by statistical tools that reduce the error rate of missed defects and improve inspection efficiency.

Anomalous are already working with global aerospace companies such as Rolls Royce and Boeing, and the company is currently a member of the first cohort of the ATI Boeing Accelerator. In this episode of the podcast, Euan and I talk about:

his broad background in aerospace engineering
the challenges of human inspection in the aerospace industry
how data-centric methods such as AI tools can help improve inspection accuracy and efficiency
and how Anomalous is using their analytic tools to help out in the current Coronavirus pandemic.





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Selected Links from the Episode

Anomalous webpage
Anomalous wins recognition in Tokyo
Anomalous profile in ADVANCE
ATI Boeing Accelerator portfolio
Boeing press release on ATI Accelerator cohort