ClaimScan
A pre-publication claim-review workspace for regulated DTC brands that maps each sentence to current FDA and FTC source material, substantiation evidence, product category, human disposition, and a bounded publish receipt.
Supplement, cosmetic, peptide, compounding, and other regulated DTC teams produce product pages, ads, and email copy faster than compliance reviewers can reconstruct which sentence makes which claim. A model can flag language or suggest a rewrite, but it cannot decide that the claim is lawful, adequately substantiated, or safe across every product and channel. ClaimScan creates a sentence-level evidence queue while keeping authored copy, detected claim, regulatory source, substantiation, qualified review, platform policy, publish approval, delivered content, enforcement, and correction separate.
The marketing operations, regulatory, legal, quality, or brand leader at a regulated DTC company or specialist agency reviewing product-page, ad, and email claims before publication.
The input cites a current enforcement surge and cross-model agreement around augmenting existing review rather than replacing it.
Rule mapping, claim classification, evidence routing, and history scale at software margins.
Compliance, copy, and ecommerce tools can add sentence-level review; no structural conflict is evidenced.
The sentence-level regulated-copy mechanism is concrete, public enforcement data is available, a direct partial competitor validates demand, and per-brand approved-claim history can compound in software.
The buyer quartet is incomplete, a direct free scanner already covers part of the workflow, no structural incumbent copying cost is proven, and the source's SAFE or FORBIDDEN labels overstate what automated review can conclude.
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