Artificial Societies
Artificial Societies simulates how large groups of people respond to opinion surveys and react to information. We help global F100 enterprises anticipate how their most important stakeholders react to their most important decisions: from how investors and opinion-leaders react to comms messaging, to how high-value customers react to marketing strategies. We are experts in human behaviour. James, our Founder and CEO, is a Cambridge psychologist and data scientist who led the seminal paper that st
Y Combinator
yc-company-directory #5722Artificial Societies simulates how large groups of people respond to opinion surveys and react to information. We help global F100 enterprises anticipate how their most important stakeholders react to their most important decisions: from how investors and opinion-leaders react to comms messaging, to how high-value customers react to marketing strategies. We are experts in human behaviour. James, our Founder and CEO, is a Cambridge psychologist and data scientist who led the seminal paper that st
sourceArtificial Societies is classified as Sales and marketing from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
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A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
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