AI extracts the material
The system identifies candidate health claims, nutrition claims, ingredient statements, warnings and marketing language. Extraction is not the legal conclusion.
METHODOLOGY · VERSION 0.1
A finding is useful only when you can inspect how it was made.
Suppvera is designed as decision support for regulatory teams. It separates extraction, rules, evidence and human judgement so uncertainty remains visible.
Deterministic rules evaluate context
Candidate text is compared with structured requirements by jurisdiction, product context, substance, wording and conditions of use. Rules are versioned so a result can be reconstructed.
Primary sources support findings
A useful result names the applicable jurisdiction, rule, source document, rule version and check time. Source links lead to the responsible public authority wherever possible.
Ambiguity stays visible
Botanicals, Novel Food status and product classification can depend on evidence and intended use. Suppvera uses review required or out of scope rather than inventing certainty.
People make the final call
The product does not provide legal advice or guarantee compliance. Qualified regulatory or legal review remains appropriate for ambiguous, high-risk or market-critical decisions.