The thinking behind the work.

Occupancy, condition and safety in a dwelling are answerable from the building itself once the sensing, the model and the control loop stay local. A position on where residential sensing is heading, and on which standards carry it.

Two engagements this week converged on the same constraint: the places that most need continuous machine perception are the places with the least reliable connection to a data centre.

A manufacturer weighing relocation decided instead to optimise the existing operation and build adjacent to it. The sequence that followed is the transferable part: capture both sites, rehearse the flow in the model, then move anything physical.

Sweden's new law on shelters and protected spaces has applied since 1 June 2026 and places duties on municipalities and property owners. The material required to rehearse against it already exists: addresses, buildings, population figures and a shelter map updated daily.

Den nya lagen om skyddsrum och skyddade utrymmen gäller sedan 1 juni 2026 och lägger skyldigheter på kommuner och fastighetsägare. Underlaget som krävs för att öva mot den finns redan: adresser, byggnader, befolkningstal och en skyddsrumskarta som uppdateras dagligen.

Twenty years of big data gave every organisation more data than it had ever held, and no better decisions. The single pane of glass shows what the systems say. It cannot show what is actually there.

In facilities scanned over many years, coverage is partial and its extent is usually unrecorded. Locating the existing datasets is the work that precedes any decision about further capture, and it can begin before any equipment moves.

Två samtal om kommunal digitalisering samma vecka kom fram till samma sak som saknades: en gemensam yta. Att indexera befintlig data efter plats ändrar vilka frågor som går att besvara, utan att ändra vad som samlas in.

Two conversations about public sector digitalisation in the same week arrived at the same missing piece: a shared surface. Indexing existing data by location changes which questions can be answered, without changing what is collected.

The most common sentence in public-sector digitalisation is "we are not there yet". It is always wrong — and the reason it is wrong takes about three minutes to demonstrate.

Standards, institutional knowledge and public-sector digitalisation are usually treated as three problems. In one week of conversations they behaved like one, and the fix in each case was the same: put the world under the work.

One part of what an organisation knows sits in systems. Most of it sits in a handful of people. When they go, the overview goes with them — unless it was anchored somewhere first.

A field note from the Working Group Standards & Platforms: six EU programmes, Physical AI on the standards agenda, human-machine teaming written into digital twin architectures — and why a nation should read all of it as a resilience question.

A single plant is covered by dozens of standards at the same time, revised on their own schedules. Following that by hand is beyond what a person can do. This note sets out what we are building in its place.

Loop programming, TDD, goals — we rediscovered concurrent engineering and gave it a new name. The loop was never the hard part. What you point it at is.

Our view on AI and where we are heading: seamless technology, reality-defined over software-defined, and automation as a promise to make us more human — not less.

Every industry is a forest: dense, established, corrupted by its own incentives. The people who can see clearly are the ones outside it. Extreme collaboration is how you invite them in — and reward them forever.

Years before 'industrial metaverse' was a category, we pitched a game that would let the world plan construction sites like Fortnite. The concept never shipped — but its ideas run through everything we build today.

From photogrammetry to NeRFs to 3D Gaussian Splatting — how reality capture became real-time, and why a phone scan of a Jamaican cell tower now beats a survey crew.

Heatmaps predict. Twins decide. Why boards should stop buying dashboards and start buying grounded models of their physical world.

What you actually get when you rent an autonomous agent instead of buying another SaaS seat — and where the guardrails have to be.

Search is becoming answer engines. If an LLM can't cleanly read and cite you, you're invisible. A field guide — including why we expose a public MCP.

This article is about how Digital Twins is not what you think, how companies can utilize systems that can solve the skill shortage gap. It's about how nothing changes, but everythi

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Did I just come up with the recipe to create Smart Buildings? A recipe to create smarter buildings?Did I just come up with the recipe to create Smart Buildings? Creating smart buil

Where to start? Sinclair: Hi Nicolas, great to talk to you. I hope you had a great time in Helsinki. I have been in the business now for ages, but I am curious to hear what you

A bit scary? This is terrifying! But anything and everything is terrifying if you put it in the wrong hands. Sinclair: Hi Nicolas! How have you been since Atlanta? I know you have

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The companies that do get it are the system integrators of the world that are at the cutting edge That's a pretty good question. How do we get more hands on deck when it comes to r

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What are they good for? Background WINNIIO is developing a self-learning, edge-native, local control-first, smart control system for radiators and smart heating systems in Sweden.

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The world depends on us, coming together and making this industry far better than it is today. From BACnet to Quantum Computing? It is a Saturday morning here in Sweden and I'm sit

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Nicolas Waern comments on asking ChatGPT what we should do with Smart Buildings and the need for Subject Matter Experts Nicolas Waern comments on asking ChatGPT what we should do w