Exciting news from the equi-track team: A new feasibility study is underway in collaboration with Robert Gordon University School of Computing, Engineering & Technology (SoCET), supported by Interface.
This project—AI-EMILiA—will explore how advanced AI-driven predictive analytics can be integrated into Equi-track to help businesses forecast equipment usage, condition, and maintenance needs.
The goal is to empower asset-heavy industries to make smarter, data-driven decisions and improve operational efficiency.
The partnership brings together Equi-track’s software development expertise, led by Gail Henderson (CEO), with RGU’s strengths in AI, data science, and high-performance computing. Key academic partners include Dr Lee A. Christie, Research Fellow with extensive experience in AI for logistics, and Dr Ciprian Zavoianu, an expert in multi-objective optimisation and leads the Net Zero Operations Research Programme at RGU.
We’ll be sharing more updates as the project progresses - stay tuned to learn more about the impact and opportunities ahead.
If your organisation is interested in learning more about this technology or exploring potential partnerships, we welcome enquiries from companies looking to benefit from the next generation of intelligent asset management.
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