- Nov 04, 2026
Why we say Applied Intelligence, not Artificial Intelligence
A note on vocabulary. What we call this technology quietly decides what we let it do — and who we let do it.
positioninglanguageRead → - Oct 21, 2026
Spatial computing as a first-class software primitive
Most enterprise software still treats the physical world as a form field. That will not be true for much longer.
spatialdigital twinsRead → - Sep 30, 2026
Local intelligence at the edge
The most interesting AI over the next five years will not be the biggest model in the cloud. It will be the smallest useful model on the machine in front of you.
local llmprivacyedgeRead → - Sep 02, 2026
From pixels to possible worlds: what Atlas changes for spatial intelligence
World models are moving from generating images of places to generating, reconstructing and simulating spaces that can be explored from new viewpoints.
spatial intelligenceworld models3D generationRead → - Aug 28, 2026
Why spatial AI should be evaluated in the scene, not only in text
A spatial system has to do more than describe an image. It must locate, compare, measure and explain what it believes about a place.
spatial intelligenceevaluationcomputer visionRead → - Aug 27, 2026
Grounded spatial agents: search, verify, then act
An agent working with a physical environment needs an evidence path, not just a confident answer.
agentsspatial intelligencegroundingRead → - Aug 26, 2026
What we will not claim from a beautiful prototype
A strong interface can make a research question legible. It cannot, by itself, prove deployment readiness, safety or business impact.
research methodprototypestrustRead → - Aug 25, 2026
Why the browser is the first deployment layer for spatial AI
A browser is not the final form of every spatial system. It is often the fastest way to test whether people understand and value one.
browserspatial intelligenceXRRead → - Aug 24, 2026
A practical benchmark for spatial workflows
The useful unit of evaluation is not always the model. It can be the complete path from spatial evidence to an approved operational action.
benchmarksspatial workflowsresearch methodRead → - Aug 20, 2026
What a healthcare operations twin must make explicit
A healthcare operations concept earns trust by showing its data boundary, assumptions and human review points as clearly as its map.
healthcare operationsdigital twinsR&D boundariesRead → - Aug 19, 2026
Why browser-native immersion matters to business value
The commercial advantage of an immersive system is often reach: a useful experience that opens in a browser can be evaluated before an organisation commits to a device programme.
WebXRimmersivedeploymentRead → - Aug 18, 2026
Measuring value in spatial workflows
A beautiful map is evidence of craft. Business value begins when the map helps a team answer a costly question faster and leave a better record behind.
business valueoperationsbenchmarksRead → - Aug 17, 2026
Place systems for heritage and destinations
Cultural and destination experiences become more useful when story, geography and wayfinding are treated as one connected interface.
heritagewayfindingspatial intelligenceRead → - Aug 16, 2026
Designing AI readiness tools that earn trust
A readiness tool should give an organisation a useful next decision, not manufacture urgency or hide the assessment behind a form.
AI readinessSMEsdigital transformationRead → - Aug 15, 2026
From prototype evidence to product decision
Screenshots and demos become strategically useful when they record what was tested, what remains uncertain and what decision should follow.
case studiesevidenceR&DRead → - Aug 01, 2026
Digital twins as command interfaces, not just 3D viewers
A useful twin should help a team decide, route, inspect and report. The impressive visual is only the beginning.
digital twinsspatial intelligenceinterfacesRead → - Aug 01, 2026
How we evaluate spatial AI workflows
A spatial AI workflow is only useful if it helps a team move from evidence to decision without losing context.
spatial intelligenceevaluationworkflowRead → - Aug 01, 2026
What makes a digital twin useful to operators
Operators do not need a prettier asset register. They need a living interface for decisions, exceptions and action.
digital twinsoperatorsinfrastructureRead → - Aug 01, 2026
Why local AI matters for infrastructure and public sector
Sensitive environments need AI systems that can run close to the data, close to the people and close to the operational constraint.
local intelligencepublic sectorinfrastructureRead → - Jul 31, 2026
What a useful AI benchmark should show
For applied AI, the right benchmark is not only accuracy. It is fitness for a real workflow, under real constraints.
benchmarksresearch methodmodel evaluationRead →