Guru Pinpoint gives developers, operators, and engineers access to the real-time performance data being collected by our hardware.

The platform uses machine learning algorithms to help you identify and resolve performance issues, improve the efficiency of your heat network and manage operating costs.

View real-time data and analysis to help you increase the efficiency of your heat network, delivering lower overall costs for you and your customers.

Spot common problems including bypasses left open, domestic hot water set-point too high, space heating set-point too high, space heating circuit not balanced and Heat Interface Unit faults.

By disaggregating loads using machine learning algorithms we can display Volume Weighted Average Return Temperatures (VWARTs) broken down by Space Heating, Domestic Hot Water and Standby mode.

Guru Pinpoint also shows Flow Temperature, Return Temperature, Delta Temperature, Flow Rate, Bypass Flow Percentage, Bypass Flow, Heat Loss and Heat Loss Per Dwelling.

Verify the commissioning of HIUs, meters and internal heating systems before residents move in.

Then use real-world peak load data to avoid oversizing in future developments.