Command Centre
Findings and alerts from every building in one place, each with the readings and trend behind it, worded in standard controls terms, so the team works from one list.

ApexAnalytica connects to your building management system, reads the control strategy and sets it beside the energy data, so faults are found at their cause, not only in the bill. Each finding is checked against the live BMS before it reaches you.
Demo Estate / Demo Building / Control Logic / AHU_1ExampleCommand Centre
3 openFrost protection cannot trip
Demo Building · AHU_1
Running without BMS enable signal present
Demo Building · AHU_2
Control loop hunting
Demo Building · LTHW circuit
Apex rating
0 / 5 BROKEN
Electricity
Months › Days › Half hours
kWh by month
Apex Performance Lab
Performance Lab runs the same five steps on each item of plant, so every site is assessed the same way and every recommendation comes with its reason.
Performance Lab / AHU_1 / AnalyseExampleAHU_1 · blocks read
What is inside
Control logic and fault detection come first. Around them sit energy, savings, reporting and the record of every building, for estate owners, FM and energy teams, energy services firms and the engineers who act on the findings.
Scroll through to see each module work. Visuals are illustrative examples.
Findings and alerts from every building in one place, each with the readings and trend behind it, worded in standard controls terms, so the team works from one list.
Faults identified from how the plant is operating, described in building-services terms such as "Control loop hunting".
Reads the control strategy from Tridium Niagara N4 stations and Trend IQ controllers: the logic, the links between it and the schedules that drive it.
Ask about a site in plain English. Answers are drawn from the building's own data and documents, and show what was checked.
Each item of plant rated from 0 to 5: where it is today, what software alone would reach, and what new I/O would add.
A written description of how the plant is controlled, produced from the station's own logic, with the evidence behind each statement.
Half-hourly electricity, gas and water, from months down to half hours, with carbon from stored grid intensity, so unusual use stands out.
Cumulative deviation from expected use, so drift shows early.
Built to order, on demand or on a schedule, so the right people see the figures without asking.
Savings against a weather-normalised baseline, following IPMVP.
On-site generation read from the building's own meters, shown separately.
Demand Flexibility Service events and their history. Automatic plant response is coming soon.
Supplier electricity invoices re-checked line by line against metered data.
The record of each building: its plant, its points and its documents. Site documents are kept as a dated baseline, so differences from the live BMS show up as findings.
Every building in one estate, with access controlled by organisation, client and building.
Evidence
Checked against the live BMS
Findings are verified against the live BMS, not only against stored data, before they reach you.
Evidence on every finding
The readings, links and logic behind a finding are shown alongside it, so anyone can see why it was raised.
Gaps named, with the fix
When a sensor has failed or data is missing, it says so, and lists the hardware that would lift the rating.
Finding · Demo Building · AHU_1
ExampleFrost protection cannot trip
DEAD_LINKThe frost thermostat is linked to a slot that does not exist, so on a frost condition the fans would keep running and the dampers would not close.
The evidence
Gap named
No duct static pressure sensor on this unit. Fitting one would allow a static pressure reset and lift the rating.
Connectivity and standards
ApexAnalytica reads Niagara stations and Trend controllers directly, and rates what it reads against published standards. More controls platforms are to follow.

Connects to
Measured against
We will walk through ApexAnalytica with you, from the control logic to the energy data and the findings in between.