BMS analytics for large portfolios

Building management system analytics, across the whole portfolio.

FrostLogic Explore reads every BMS, meter and sensor across your buildings, whoever made them, and returns one ranked queue: what to fix first, where, and what it costs to wait.

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  • EU-hosted
  • Read-only
  • Works across BMS vendors

The problem

Twenty buildings, five BMS vendors, one team.

Building management system analytics usually stops at the building. Each site has its own BMS, its own alarms, its own dashboard, and the estate view is a spreadsheet somebody maintains by hand. Twenty buildings produce more signals than any team can read, so the loudest building wins attention while the quiet waste runs elsewhere.

FrostLogic Explore reads the BMS, meters and sensors in every building you run, Siemens in one, Schneider in another, and normalises them into a single model of the estate. What comes back is one ranked queue across the portfolio: which fix is worth the most, in which building, and why.

No rip-and-replace, and no new hardware in the typical estate. Explore connects read-only over standard protocols or vendor APIs, and the first portfolio-wide findings land in the first week.

Running a single building rather than an estate? The analytics layer for one BMS lives on our building management software page. Offices and mixed-use campuses are the common estate here; there's more on that ground under smart buildings and facilities.

Across the estate

Your portfolio, at a glance.

Coverage
One queue across every building
Every site rolled into one ranked list, not a dashboard per building.
Vendors
Reads mixed BMS estates
Siemens, Schneider, Honeywell, Trend and the rest, normalised into one model.
Detection
Six anomaly-detection methods
Cross-checked across every building, so real faults rank and noise drops out.
Time to value
First findings in week one
From a read-only feed. No estate-wide baselining project first.

What it does

One queue for the whole estate.

Portfolio-wide anomaly detection

Six detection methods run across every building at once, so the compressor drifting in building 12 ranks against the schedule fault in building 3. The queue is ordered by cost, not by which BMS shouts loudest.

Cross-vendor by design

Explore reads Siemens, Schneider, Honeywell, Trend and the rest over BACnet, Modbus, OPC UA and vendor APIs, then normalises them into one model. Mixed estates are the normal case here, not an integration project.

Energy waste, benchmarked across sites

Like-for-like comparison shows which buildings underperform and by how much money. Energy efficiency monitoring rolls up to the portfolio and drills down to the valve that caused it.

Forecasting and what-if, estate-wide

Demand forecast with confidence bounds, per building and for the portfolio. Setpoint and schedule changes get simulated against each building's model before anyone touches a live system.

Building management system analytics across every building you run, in one ranked queue, grounded in the telemetry each site already collects.

The difference

Per-building dashboards vs. a portfolio queue.

Per-building BMS dashboards vs. FrostLogic Explore
Per-building BMS dashboardsFrostLogic Explore
Estate viewOne tab per building, stitched by handOne model, one ranked queue
Mixed vendorsEach BMS is its own siloNormalised across vendors, read-only
Who finds the wasteWhoever has time to lookSix detection methods, running continuously
PrioritisationLoudest building firstHighest value first, portfolio-wide
BenchmarkingSpreadsheet, quarterlyLive, like-for-like across sites
CompliancePer building, at audit timeContinuous evidence across the estate (BREEAM, LEED, Nordic Swan, EPBD)
HardwareOften a new platform per siteReads what each building already runs

At a glance

Built to read the whole estate, not rebuild it.

No rip-and-replace, and no new field hardware in the typical estate. Explore connects read-only over the protocols your buildings already speak, processes data in the EU, and returns its first portfolio findings within the first week. Adding a building is a connection, not a project.

How it works

Read every building, reason, rank the fixes.

01 · Read

Every building's systems

Explore connects to each building's BMS, meters and sensors over standard protocols or vendor APIs. Read-only. Nothing new to install in the common case.

02 · Reason

Grounded per building, weighed across the estate

The FrostDynamics engine grounds each signal in that building's physics, then weighs the findings against each other across the estate. It cites the data it used and invents nothing.

03 · Rank

One queue for the portfolio

One queue for the portfolio: what to act on, where, why, and the cost of waiting.

Before you ask

Building management system analytics, the questions we get.

Software that reads the data a BMS already collects, temperatures, valve positions, runtimes, energy, and turns it into findings an operator can act on. A BMS controls the building; analytics tells you what its data means. Explore goes one step further and ranks those findings across every building you run.

No. BMS software runs a building: schedules, setpoints, alarms. Analytics sits on top, read-only, and explains what the data means. If you run one building and want the analytics layer on a single BMS, our building management software page is the place to start. If you run many, this is the page.

No. Mixed estates are the normal case. Explore reads Siemens, Schneider, Honeywell, Trend and the rest over standard protocols or vendor APIs and normalises them into one model. Buildings with only meters and sensors work too.

Yes, offices are the most common case: comfort-sensitive tenants, mixed plant, and sites that never quite compare like-for-like. Explore benchmarks them honestly and ranks what to fix across the estate.

Four things. Does it read the BMS estate you actually run. Does it explain its findings or just chart them. Does it rank by money rather than by alarm volume. And can you leave with your data and models intact. Explore is built around all four.

In the EU. Managed SaaS runs on Hetzner's ISO 27001 data centres, GDPR-native, or you self-host in your own Kubernetes cluster. The platform processes building and sensor data only, no PII.

See your whole estate in one queue.

A 20-minute demo on a sample of your portfolio's data. Senior engineer on the call, no procurement round.