Localizes content to reflect cultural norms, idioms, and region-specific preferences.
Adapts content beyond language: cultural references, examples, formats, sensitivities. Translation handles words; localisation handles what the words assume.
Content with embedded cultural assumptions — examples, humour, scenarios, imagery references.
Culturally neutral factual content, where localisation introduces variation with no benefit.
Cultural adaptation should be validated by someone from the market. A model's understanding of a culture is drawn from text about it.
Confident cultural stereotyping. Localisation that reproduces a generic idea of a market rather than reflecting it.
Training material where worked examples use local currency, date conventions and business scenarios that a reader in that market recognises.
Two different absences share this shape. Foundational solutions get built whatever the domain, so no domain links them; the rest are solutions this domain genuinely does not reach for. v_ai_solutions_unlinked separates the two.