DisclosureReel
A disclosure-as-a-feature layer for AI avatar and influencer platforms that applies jurisdiction-aware synthetic-performer labels and preserves a per-asset evidence receipt without claiming that a label alone creates compliance.
AI avatar platforms can generate an asset in seconds, but the platform, brand, publisher, and territory may each carry different disclosure obligations. Once the asset is exported, the evidence connecting the rule, label, approved copy, placement, and rendered result is easily lost. DisclosureReel gives generation platforms a governed disclosure step and a per-asset receipt while keeping legal applicability, platform policy, publisher action, and regulatory judgment separate.
The product, trust, or compliance leader at an AI-avatar or synthetic-influencer generation platform that needs disclosure controls inside the asset workflow and evidence for brand, publisher, and regulator questions.
The input confirms the New York synthetic-performer law as live on June 9, 2026.
AI-avatar platform product, trust, and compliance leaders own the generation workflow and the liability-sensitive customer surface.
Two cross-references, five inbound connections, and three direct links support a real local cluster rather than broad independent convergence.
The buyer is a specific generation-platform role, a New York synthetic-performer rule creates current urgency, three public avatar interfaces were verified, and the research found no disclosure-and-receipt layer aimed at this platform wedge.
The input does not establish a structural copying cost, legal applicability varies by jurisdiction and use, and generation platforms could add their own labels. The rule corpus and embedded evidence history must earn the moat.
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