CultureFlow is a cultural intelligence platform. Underneath is a graph of peer-reviewed research, a Cultural Signature for every person, and a family of products that read both. Here is how it fits together, and where your data lives.
100+ countries, each with values dimensions from the Integrated Values Surveys, work attitudes from ISSP, GLOBE regional context, and Hofstede as a comparison layer. Within each country, generation and gender cohorts, so a reading is never only a nationality. Between countries, the measured tensions and alignments the products read.
Peer-reviewed papers indexed for retrieval and tiered by source quality. Every briefing records which sources it drew on.
One object per person, composed from the graph from six inputs, nationality, age, gender, experience, seniority, and industry, into five dimensions. Every product reads the same Signature, so what you set up once follows you everywhere.
The meeting, the prospect, the team.
It pulls the Signatures involved and the graph relationships between them: Where they pull apart, where they align, and the norms that apply.
The papers that bear on that situation, drawn from the corpus.
From that material, and only that material, and it records the sources it used. The model writes; the graph decides what is true.
The full statement is in our privacy policy.
The Cultural Intelligence Engine is the shared core beneath every CultureFlow product: a graph of peer-reviewed cross-cultural research covering 100+ countries, a research corpus indexed for retrieval, and the Cultural Signature composed from both. Products are different ways of reading the same engine.
A Cultural Signature is a per-person reading of cultural context, composed from six inputs (nationality, age, gender, experience, seniority, and industry) into five dimensions. It is free, it is yours, and every CultureFlow product reads it.
Your account, answers, and briefings are stored separately from the cultural graph, which holds your country and facets under an internal identifier, never your name or email.
No. Briefings are generated by a language model from the graph and the research corpus, and CultureFlow does not train models on user data.