Adattest
An independent evidence ledger for AI-operated advertising that captures the proposed change, bounded reason record, approval state, provider response, and observed outcome without turning telemetry into legal certification.
Advertising teams increasingly let automated systems adjust bids, audiences, creative tests, and budgets. Native action logs can show that something changed, but insurers, clients, and reviewers may need a durable record that connects the exact proposal to the governing policy, human approval or unattended authority, provider acknowledgment, and later measurement. Research found adjacent optimization and content-review products but no standalone agency-facing product combining cross-vendor decision receipts, tamper-evident retention, and jurisdiction-aware evidence packaging. The opportunity is an independent evidence layer, not a promise that a receipt proves legality, causality, or admissibility.
The operations, compliance, or client-services lead at an agency or brand allowing automated advertising changes. Exact firm size, budget owner, insurer demand, and evidence acceptance still require validation.
A confirmed April 2026 legal-risk signal sharpens demand for explainable, attributable advertising operations.
Schema normalization, retention, policy matching, and evidence assembly are code-scalable.
Three cross-references and three inbound connections support moderate convergence without a supplied cross-vertical cluster.
The timing signal and market gap are supported, the evidence workflow scales through software, and independent cross-vendor receipts create a clear product mechanism.
The buyer and budget are underspecified, legal acceptance varies by use and jurisdiction, and no structural incumbent copying cost is evidenced.
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