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.

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? This guide covers the 5 capabilities that matter, platform types, and what to look for, 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 pages20-minute demo. Senior engineer on the call.