Org Blueprint
Section 13Data + Trust & SafetyP0 · Deal-relevant

Audience Intelligence

Ten AI agents do trend detection across 21 demographic cohorts (3 gender × 7 age bands) over the Americas, Europe, and the Middle East. Three humans supervise. Every asset enters the pipeline only with a clean licence record on every asset — operating strictly within GDPR + EU AI Act + DSA boundaries.

Regulatory framing

GDPR Art. 6 lawful basis · EU AI Act Art. 50 (transparency obligation) and Art. 6 (high-risk classification) · DSA Art. 35 (systemic-risk mitigation for VLOPs). Compliance is enforced inline at AI-025 (Article 50 disclosure tagging) and AI-027 (Article 50(4) deepfake detection).

Why AI-026 is deal-protective

AI-026 maintains a clean licence record on every asset. Strategic acquirers' legal teams open this first. A sloppy licence ledger is the most common reason an audience-intelligence acquisition fails at the legal-diligence stage.

Why AI-024 is the benchmark

AI-024 is the agent buyers will benchmark against their own. For Meta, Google, and ByteDance this is the closest analogue to their daily ranking systems — and the most heavily scrutinised component of any strategic-acquisition diligence.

The pipeline

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Orange edges show human supervision. Red edges show hard licence / synthetic-content gates. Click any node to open the role detail.

The ten agents

The three humans

Acquisition relevance

A strategic acquirer's technical and legal teams spend more time on Section 13 than on any other part of this catalogue. AI-024 is the benchmark target. AI-026 is the deal-protective component. The three named humans (R-100, R-101, R-102) are the people the acquirer will want to meet in week one of diligence — they are the ones who can answer how the pipeline holds up under regulator inquiry and where the model fails.