INNDI is a natural progression of research on the development and validation of regression-based norms for neurocognitive tests. Neurocognitive assessment has evolved through a succession of phases that began by simply comparing a person’s raw test score with the distribution of scores produced by a normative sample. This progressed to referencing test performance against a normative sample stratified by age. Since the introduction of regression-based norms (Zachary and Gorsuch, 1985), the use of these methods to account for age and other demographic characteristics has grown in popularity. INNDI is extending these methods by pooling normative data for selected tests from around the world. The resulting regression-based norms will account not only for the effects of age, sex, and education, but also for a test-taker’s cultural and linguistic background.