The smart, fast and affordable way to detect defects in critical infrastructure. Can machine learning be used in asset management to prevent critical assets from failing? We think so. We help CEOs, asset managers and engineers use the accelerated speed and deep learning properties of machine learning to detect defects in critical assets quickly, safely and cost effectively. The benefits? • Increase the speed of asset inspections • Increase the frequency of asset inspections • Increase the compliance with industry regulation • Decrease the cost of asset inspections We use machine learning to replace the manual inspection of infrastructure assets with automated inspection. This enables defects to be readily identified and repaired before they cause failures. This form of predictive asset maintenance can save your organisation potentially millions of dollars, and protect the lives of those who maintain your assets. Our software can create synthetic photos of almost any asset and any defect and create the vast volumes of training data you need to train the model. From power poles and pipelines to mining and medical imaging, we’ve got you covered. Put it this way: if you can see it, we can synthesise it. We’ve developed an exciting piece of simulation software that generates the millions and millions of photos/data needed to train the computer to spot the defects. This data is known as ‘synthetic data’ and it will revolutionise the way machine learning is conducted in the future. We provide this missing piece of the machine learning puzzle that makes machine learning accessible and affordable for all.