First AI platform built to predict structural behaviour in real time using sensor data. No models. No assumptions. Just actionable insights.
SHM sensors produce millions of data points, but traditional systems can’t tell you what’s coming next and which data points are important.
Reactive data and manual inspections only catch problems when they’re already costly.
Without knowing where or why a structure is changing, you miss early critical deterioration signals which avoid overspend
Learns how your structure behaves. no assumptions, no models, just real-world data.
Detects micro-defects and permanent deformations invisible to other monitoring methods.
Predicts structural change long before it’s visible, so you can plan, not react.
Compatible with any SHM setup. Works with your current system and sensors. No integration required.
Founder Callum and his team begins developing and installing structural health monitoring (SHM) systems across the UK.
Machine learning algorithms are created to detect failure in medical devices. Core tech is developed with Imperial College London.
AIM’s AI is used for structural monitoring.
Second-generation AI is launched by Our CTO Dr Will Beardall.
AIM expands into European and global markets.
Third-generation AI goes live.
