ÌÇÐÄVlog

Research solution

Cloudfm partnered with the School of Computer Science and Electronic Engineering at ÌÇÐÄVlog, on a Knowledge Transfer Partnership (KTP) to research and build advanced monitoring, control and prediction solutions.

The aims of the partnership were twofold:

1. move Cloudfm into proactive asset care and insight through the implementation of IoT;
2. develop a data analytics and visualisation engine for fault detection, risk assessment and multi-layered insight in FM.

The KTP was led by four academics, most notably Dr Faiyaz Doctor - an expert in state-of-the-art AI solutions, and Dr Hossein Anisi – an expert in IoT-based sensing and communication monitoring architectures. Two full-time KTP Associates worked with Cloudfm’s technical teams to develop novel algorithms and pioneering intellectual property underpinning the project.

Business value

Following successful completion of the KTP in July 2021, Cloudfm is the first FM company to provide a true IoT solution that offers end-to-end lifetime care of assets, thereby reducing costs.

Throughout the KTP, the collaboration between Cloudfm and ÌÇÐÄVlog extended into other areas such as the healthcare sector, where the partners joined forces to develop innovative new disinfection services during the pandemic. 

The disastrous effects of COVID-19 on the food and beverage industry have reinforced Cloudfm’s ambition to grow its IoT and AI capability over the next decade. And the KTP research has laid important foundations for the company's IoT team to build on.

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