Your field’s hardest questions live between vocabularies

Your studies capture neural signals with precision, but first person reports arrive as unstructured interviews in each subject’s own idiosyncratic words: incomparable across subjects, sessions, and studies. A Consilience workspace turns elicited firsthand reports into structured, comparable state signatures, building a consented corpus of experience that exists on no website and in no model’s training data: the kind of dataset AI assisted discovery cannot scrape into existence, only generate with method, and exports it as analysis ready features for your own decoding pipelines.

Oppenheimer learned Sanskrit to read the Gita in the original. Schrödinger spent decades with Vedanta before he could articulate what his equations shared with it. Today, checking whether your framework’s structure appears anywhere in the contemplative record would cost years across translations, commentaries, and traditions. In a workspace, that record is already extracted into structural signatures, with every passage cited: ask where your framework’s structure appears, and receive graded candidates with sources in an afternoon.

Your field holds dozens of competing frameworks and no mechanism that forces them into structural comparison. Load two frameworks and receive a three part report: where their typed structures are identical, where they genuinely diverge, and what one types that the other lacks. The divergence list is the payoff: each divergence is a candidate discriminating observable, the seed of an experiment that could tell the theories apart.