Just like many commercial building owners, Till Asset Management was struggling to get a clear picture of their energy usage and carbon emissions at Exchange Quay. The limited access to meter data and the complexity of information from their Building Management Systems (BMS) made it a real challenge.

Just like many commercial building owners, Till Asset Management was struggling to get a clear picture of their energy usage and carbon emissions at Exchange Quay. The limited access to meter data and the complexity of information from their Building Management Systems (BMS) made it a real challenge.

By working with Optimise AI, they were able to simply connect their smart meters and BMS systems to the Predict platform. The team started to have clear insights into building performance from day one.

Optimise AI uses advanced Machine Learning and AI algorithms to analyse the data, compare it to an energy simulation model, and benchmark it against data from millions of other buildings. This gives a comprehensive understanding of the building’s performance and spots opportunities for optimisation.

Now, Till Asset Management benefits from real-time performance insights and actionable recommendations to boost energy efficiency and cut emissions. The long-term plan is even more ambitious: enabling Optimise AI’s algorithms to autonomously control the BMS, ensuring optimal user comfort while slashing energy consumption and carbon output.

Les Lang, Partner at Till Asset Management, shared his experience:

"I was initially skeptical about the impact a semantic digital twin could have on managing energy and carbon emissions. However, I’m now a firm believer in its benefits and am excited to roll this out across the Exchange Quay site.“

This partnership proves that cutting-edge technology doesn’t have to be overwhelming. It can drive change in operational efficiency and sustainability, simply.