IN Brief:
- IMSERV has acquired building-performance software company arbnco.
- The combined platform will connect meter data with weather, asset characteristics, and retrofit modelling.
- The transaction is IMSERV’s third acquisition within 18 months.
IMSERV has acquired building-performance software company arbnco, adding portfolio benchmarking, energy analytics, retrofit modelling, and compliance functions to its metering and data-services platform.
The transaction represents IMSERV’s third acquisition within 18 months, following the purchase of Astral Tech, which added energy and customer-data integration capability, and SP Dataserve, which expanded the group’s wider data-service operations.
Arbnco’s software combines building characteristics, measured energy consumption, and external information including weather data. The platform is designed to compare properties, identify abnormal consumption, assess portfolio performance, and model the likely effect of potential improvements.
By integrating the software with IMSERV’s metering and unmetered energy-data services, the group intends to provide a route from interval readings through analysis to retrofit planning, operational control, carbon reporting, and compliance management.
The combined service will also support Energy Performance Certificate administration and the modelling of future upgrade scenarios. Customers will be able to examine calculated building characteristics alongside actual operational energy use rather than relying on either measure alone.
Asset ratings and measured consumption provide different forms of evidence. A property can contain efficient equipment but use more energy than expected because of operating hours, poor controls, occupancy, maintenance, or process loads. Low measured consumption can equally result from underuse rather than efficient design.
Weather normalisation allows energy use from different years or locations to be compared more consistently, especially where heating and cooling form a large proportion of demand. It cannot remove every operational variable, but it helps distinguish changes caused by climate conditions from those arising through equipment, controls, or management.
Portfolio analytics can then guide investigation towards buildings with persistent baseloads, unusual seasonal patterns, excessive out-of-hours consumption, or a widening gap between expected and actual performance. Engineering review remains necessary to identify the physical cause behind the data.
Meter data moves into capital planning
Advanced meters already generate large volumes of interval information, although collection alone does not reduce energy use. Readings must be validated, mapped to the correct asset, compared with relevant operating conditions, and converted into actions that can be costed, delivered, and verified.
Combining meter information with building records can improve retrofit specifications. An inefficient heating profile may indicate poor control sequencing rather than the need to replace the entire plant, while a constant overnight load can point to equipment remaining energised unnecessarily.
After an upgrade is completed, the same data can test whether the expected savings have been achieved. Measurement and verification must account for weather, occupancy, production, operating hours, tariff changes, and other variables so that financial and carbon results are not overstated.
The acquisition also demonstrates the growing convergence between energy engineering and financial modelling. ABB’s investment in Gridcog similarly links technical assets with forecasts of cost, market exposure, and operational value.
Buildings are becoming more electrically complex as heat pumps, photovoltaic generation, batteries, vehicle charging, and flexible tariffs are added. Optimising those assets requires an understanding of load shape, coincidence, and network limits rather than annual consumption alone.
A heat pump can increase electricity use while reducing overall emissions, while a battery may lower peak imports without changing total consumption materially. Annual figures can obscure those operational changes, making interval data and system modelling increasingly important.
Data quality remains a limiting factor. Missing intervals, estimated readings, incorrect meter mapping, changed tenancy, faulty sensors, and inconsistent property records can undermine apparently precise analysis. Automated recommendations therefore need traceable inputs and competent review.
Cybersecurity and access control also become more significant as platforms combine consumption, asset, occupancy, and financial information. Organisations require defined data ownership, controlled interfaces, retention policies, supplier-management procedures, and reliable recovery arrangements.
IMSERV will integrate arbnco while continuing to support its existing customers. The technical value of the transaction will depend on whether the combined platform maintains trusted data flows and produces recommendations that can be traced from measured conditions to practical engineering interventions.
The acquisition moves IMSERV further from meter-data collection towards building-performance decision support, following a broader shift in which energy information is expected to guide investment, compliance, and operational control rather than remain a retrospective billing record.
