Cultural intelligence platform and institutional system

A practice merging cultural anthropology, data science, experience design and behavioural analytics, with no category language to be understood by.

Read as a consultancy, the work would be bought by the project. Read as a research institution, it could hold a methodology and a platform.

Cultural context is a measurable variable in experience, not a soft adjunct to the quantitative work.

Define the category as Cultural Intelligence for Experience Systems and adopt an institutional tone — a research lab and think tank bridging behavioural analytics and cultural context. A conventional consultancy presentation was rejected.

Three conceptual models: the Cultural Experience Engine, processing outer cultural context into inner experience outcomes; the Cultural Intelligence Stack, placing cultural intelligence above infrastructure, applications, analytics and experience; and the Cultural Signal Flow, mapping cultural environments to user outcomes. A modern research-studio identity in Aeonik on structured 12-column layouts.

An editorial platform architecture covering the Research Lab, the Cultural Experience construct, the Cultural Intelligence Stack, Signals and Systems, Insights and the institutional roadmap; analytics dashboard concepts for Cultural Resonance Score, Sentiment Velocity, Community Engagement Rate and Cross-Market Alignment; custom frontend and deployment.

Not yet measured. The dashboard metrics designed in this engagement measure the client's subject matter; they are not outcome evidence for this case.