DeepRecall - Regulatory Intelligence for Marketplace Enforcement

# DeepRecall > AI-powered regulatory intelligence platform that transforms global safety signals into automated enforcement decisions for marketplaces. ## Overview DeepRecall is a regulatory intelligence operating system for marketplaces and regulators. It monitors 120,000+ safety alerts from 8+ official jurisdictions, indexes marketplace catalogs, and delivers automated enforcement decisions with regulator-grade evidence. DeepRecall is not a scanner. It is a decision engine powered by a proprietary intelligence layer. The system works in three stages: 1. **Catalog Indexing** — Ingest product listings via API, CSV, or direct feed. Listings are re-evaluated agenically when new regulatory alerts appear. 2. **AI Decision Engine** — Multi-signal analysis produces clear verdicts (Flag, Clear, Review) with explainable rationale and confidence scoring. 3. **Intelligence Layer** — 120,000+ structured alerts from 8+ jurisdictions plus custom marketplace policies. Updated daily from official regulatory sources. ## Jurisdiction Coverage | Region | Source | Key Regulations | |--------|--------|-----------------| | European Union | Safety Gate (RAPEX) | DSA, GPSR | | United States | CPSC | Federal | | United States | FDA | Federal | | United Kingdom | OPSS | UK PSTI | | France | RappelConso | DGCCRF | | Canada | Health Canada Recalls | Federal | | Australia | ACCC Recalls | National | | Global | OECD GlobalRecalls Portal | Multi-jurisdiction | More jurisdictions are added continuously. ## Why Marketplaces Use DeepRecall - **DSA Compliance**: Article 6 of the Digital Services Act requires online marketplaces to take action on unsafe products. Non-compliance penalties can reach 6% of global annual revenue. DeepRecall generates the regulator-grade evidence and audit trails required. - **Customer Trust**: 87% of consumers will not return to a marketplace after purchasing an unsafe product. Proactive safety enforcement builds trust and retention. - **Operational Scale