Short, technical, opinionated. The patterns, anti-patterns, and post-mortems behind Sensor Intelligence and applied AI for buildings — written by the people doing the work.

What building analytics software actually covers, how it differs from BMS analytics, and the six questions that separate a real platform from a rebuilt dashboard.

EPC C by 2030 is the residential landlord deadline (not commercial MEES): the 1 Oct 2030 date, £10,000 cost cap, and £30,000 fine, verified against GOV.UK.

Why sensor and IoT hardware OEMs partner with FrostLogic Explore: co-sell economics, the coverage gaps synthetic data cannot close, and how the API integration actually works.

Best CAFM software compared by a company that does not sell one. Nine CAFM systems, what each is strongest at, and where every one of them falls short.

A net zero building claim covers embodied and operational carbon. See what continuous proof requires, and where design certification falls short.

How the GHG Protocol splits emissions from buildings into Scope 1, Scope 2, and Scope 3, where Scope 2 goes wrong, and what a defensible process needs.

How to choose a building automation company or building management system integrator: what to ask, red flags to avoid, typical costs, and how integrators fit alongside an analytics layer.

HVAC AI explained in plain terms: what sensor-based models reliably detect and forecast, where confidence breaks down, and how it differs from BMS rules.

How much energy do commercial buildings actually use, and where does it go? CBECS, Eurostat and ENERGY STAR data on end use, building type and climate.

Deferred maintenance backlogs cost more the longer they sit. See how sensor evidence ranks repairs by real failure risk, not complaint volume.

MEES compliance for commercial property: the EPC E floor today, the real 2031 EPC B proposal, and how monitoring proves it across the portfolio.

Energy use intensity (EUI) explained: the formula, a step-by-step worked example, and ENERGY STAR benchmarks by building type.

The best European building energy management software in 2026: EU data residency, ISO 50001 fit, and how Spacewell, IngSoft InterWatt, Siemens, and Schneider compare.

The best condition based maintenance software for facility teams in 2026: what each platform does well, where it falls short, and how to choose.

Condition based maintenance explained: how it differs from predictive and preventive maintenance, when to use it, and how to build a policy that sticks.

What is automated demand response? How ADR differs from manual DSR, how programmes pay, and which loads are safe to let OpenADR trigger unattended.

Demand side response asks how you get paid to shed load. This is about which loads you can actually flex without breaking comfort or compliance.

Chiller plant optimization reads condenser approach temperature, superheat, compressor amps and cycle counts as both maintenance and cost signals.

Energy benchmarking scores buildings via ENERGY STAR Portfolio Manager: what it means, why ordinances require it, and what energy benchmarking services miss.

A vendor's honest comparison of AI energy management tools for buildings: FrostLogic Explore, BrainBox AI, Schneider EcoStruxure, C3 AI, Verdigris, Kiona.

Condition monitoring for buildings explained: which sensor signals reveal asset condition, how it differs from predictive maintenance and FDD, where to start.

FrostLogic Explore, Clockworks Analytics, Facilio and CopperTree Analytics ranked for predictive maintenance software in buildings, honest tradeoffs included.

A virtual sensor derives a metric from the sensors you already have — closing data gaps without new hardware. How they work and where they fit.

District heating is the Nordic cost driver most building AI ignores. Substation signals, heat-demand forecasting, and where the real savings are.

Critical-equipment monitoring, continuous compliance, and EU data residency for hospital and life-science estates — built on the sensors you have.

FrostLogic Explore, Augury, Senseye and SKF Enlight AI compared for industrial sensor intelligence: explainable actions, portfolio-wide insight, EU-hosted data.

Confidence-bounded demand forecasting and anomaly detection for energy and utility operators — including live grid carbon intensity for the Nordics.

Layer vendor-agnostic anomaly detection, forecasting, and compliance on top of Schneider EcoStruxure Building Operation, across mixed-BMS estates. No lock-in.

How to add analytics on top of Siemens Desigo, read-only by default over BACnet or OPC UA. Detection, forecasting, one ranked queue.

Turn PLC, SCADA, and OPC UA telemetry into a ranked queue of maintenance actions. How physics-aware AI cuts unplanned downtime on the line.

What is building commissioning? A ladder from new-build Cx through retro-commissioning to MBCx, and why continuous verification is where it ends up.

A commercial building energy audit shows where a property wastes energy on inspection day. What ASHRAE Levels 1-3 cost, cover, and what to do between audits.

Digital twin vs sensor intelligence: do you need a full building model, or just better decisions from your sensors? A comparison of cost and effort.

Building automation systems, decoded: what BAS software actually does, the vendors behind it, and how to get ranked analytics without replacing what's installed.

Fault detection in building automation looks simple until sensor drift, missing point context and alarm fatigue turn FDD into noise nobody trusts.

Most smart building analytics fail on data, not the model. The five sensor data failure modes, their root causes, and the fixes that hold, in order.

BACnet vs Modbus, plus OPC UA, oBIX, LonWorks and KNX: how the protocols differ on semantics, security and analytics-readiness, when you need a BACnet Modbus gateway, and how BACnet MS/TP compares to BACnet/IP.

Buildings drift out of compliance long before anyone notices. How continuous monitoring catches the faults early and keeps the audit evidence ready.

Most energy waste never trips a BMS alarm. How analytics on data your building already collects finds waste, prices it, and ranks what to fix first.

Four BMS analytics platforms ranked for 2026. What Clockworks, Facilio, BrainBox AI and FrostLogic Explore each do best, with numbers from their own materials.

Six criteria that separate real sensor intelligence solutions from dashboards with better graphics. An evaluation guide for facility and energy managers.

CSRD is pulling building ESG reporting from annual estimates to measured, auditable data. What the directive expects and how sensor data delivers it.

Most equipment failures show up in HVAC and plant data days ahead. What predictive maintenance actually needs, and why most programmes stall.

The EPBD now requires automated controls for buildings over 290 kW. Who it applies to, what a compliant BACS must do, and how to close the gap.

A comparison of the leading smart building AI platforms, including where each competitor beats FrostLogic. For buyers shortlisting vendors in 2026.

AI finds energy savings that rule-based systems miss. Learn where the real opportunities are in commercial buildings — and how to capture them.

How does AI detect real anomalies in building sensor data without drowning you in false alarms? Six methods, severity scoring, and causal filtering explained.

Evaluating smart building AI? The five capabilities worth paying for and the questions that expose a chatbot in a wrapper. From a team that builds one.
Automate green building certification with continuous sensor data. Real-time compliance tracking for BREEAM, LEED, and Nordic Swan -- no more audit scrambles.

Predict energy demand, comfort issues, and equipment failures from your building sensors. See how AI forecasting with confidence bounds works in practice.

Your building generates thousands of data points per hour. Here are 5 insights hiding in your sensor data — and how to act on them.

AI in buildings fails when sensors lie. Drift, stuck values, and missing data undermine every insight. How a physics-aware AI layer validates its own inputs.

Green building certifications define the standard. Continuous sensor data proves you're meeting it. How real-time building analytics makes ESG reporting credible.
Topics we keep returning to
Why thresholds fail and what to do instead. The six methods we run, and the failure modes each catches that the others miss.
Glossary · 4 entriesWriting for the tired person at 07:42 on a Monday. Naming the asset, proposing the next step, respecting attention. The colleague pattern, in detail.
Glossary · 3 entriesHow continuous evidence turns BREEAM, LEED, and Nordic Swan from a paperwork tax into an operational story. With less audit-week scrambling.
Compliance hub · 4 pagesTell us what you're trying to figure out: energy drift, a BMS you don't trust, compliance you're chasing. We listen first, then tell you straight whether Explore helps. 30 or 60 minutes, your pick. No commitment either way.