Clinical datasets that could move research forward sit unused because two questions are hard to answer together: is this use consented, and is the data de-identified enough to share? Consent tools track permission but do no de-identification math; de-identification engines compute risk but are blind to consent. Lupta joins them. Claude reads the free-text consent document, checks a proposed use against it, discovers quasi-identifiers, and reasons about re-identification — while a deterministic engine owns every number, so no figure in the decision memo is ever produced by the model. It emits an auditable memo: a verdict, the risk findings tagged to the tool that computed them, and every legal assertion cited to a gazette-verified provision of India's DPDP Act — ahead of the May 2027 enforcement date. Built for the researcher trying to get a dataset safely out of the drawer.
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