Most supply chain compliance tools scrape corporate registration records, geolocation data and trade shipment data—public datasets that are vast but unverified—and surface the results to your team. The output can feel comprehensive, but it’s largely raw data: unresolved corporate filings, bulk shipment records, and algorithmically generated flags that no expert can stand behind. Your compliance team inherits all of this data and all of the work of determining what it means—including whether flagged entities are genuinely connected to restricted networks, are subsidiaries, or are simply coincidental name overlaps. The tools create more analytical work than they resolve, and there’s only so much actionable insight you can extract from corporate filings, addresses and bills of lading alone. Kharon’s intelligence is built differently. Our experts conduct investigations that map ownership and supply chain networks, verify entity relationships against source documents, and document the specific risk basis for every entity in the database. Critically, Kharon’s approach goes beyond the UFLPA Entity List itself. Kharon’s research methodology aligns to the regulatory red flags — such as labor transfer programs and associated euphemisms — that signal forced labor risk, then uses all publicly available information to identify companies displaying those behaviors and maps their networks. This means Kharon’s coverage extends to red flag entities and relationships that no published list captures. Relationships in Kharon’s database are there because they have been identified as relevant to risk topics—not because an algorithm surfaced a possible match. The result is intelligence your team can act on, not an unverified data heap to sort through. All data is structured and readable by AI and LLM-powered systems to ground results in a reliable source of truth.