The platform reduces review costs, human error and subjectivity allowing asset owners to ensure that only the right pipes are repaired, whilst freeing up budget to survey a greater % of their network.
We’ve been collecting and classifying examples of defects in pipes across thousands of pipe inspection videos from around the world. Based on those examples, we’ve trained AI models to autonomously classify and categorise defects. You can think of it as pattern matching, and it gets better with the more videos processed.
Once videos are processed, on the platform you can: