- 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 → - 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 →