Companies, banks, and regulators can no longer rely on a single dataset or a single rulebook. They need to bring multiple pieces of information together to understand risk and make informed decisions. This is where legal-entity knowledge graphs (LE-KGs) come in. They act as the “map” of companies and their connections, showing ownership, control, and risk.
Collecting, cleaning, and maintaining company data directly from 50 separate US state registries (plus DC and territories) is possible - but only with significant, ongoing expense in money, time, and specialist effort. Variation across states in data availability, formats, fee models, and cadence - paired with legal/licensing friction - turns “do‑it‑yourself” into a long, laborious program rather than a one‑off project.
When onboarding moves beyond one market, the first thing to break isn’t your policy, it’s the process around it. This post shares what we’ve learned helping risk & compliance teams verify businesses globally, with practical steps you can drop straight into your roadmap. The result is fewer manual reviews, faster time‑to‑decision, and an audit trail you actually trust.
Portfolio owners, lenders, and prop-tech platforms are all grappling with the same fundamental problem: how do you make smart investment and lending decisions when you can't see who really owns what?
Across healthcare, PBMs are being buried in compliance demands. As an executive we spoke to recently put it, "compliance is no longer just difficult, it's downright unmanageable." In this post, you’ll discover why traditional compliance methods are failing, how costly these mistakes really are, and exactly how forward-thinking PBMs are leveraging unified corporate data to fix this liability.
Supply chains are more complex than ever. Global systems are susceptible to disruption due to environmental, geopolitical, financial and other events outside of the control of Enterprise Leaders. Tradeverifyd allows those same leaders and managers to see deep into their supply chains - well past their Tier 1 suppliers - to proactively manage their supply networks before disruptions occur.
In this post, we're exploring how regulatory fragmentation in one of the world's most advanced economies creates a compliance bottleneck for global fintech platforms. We'll break down the specific challenges of Japanese business verification, compare your main options for getting reliable data, and reveal how the country's ownership secrecy creates fundamental blind spots in risk assessment.
At Red Oak, we leverage OpenCorporates to help our clients identify Outside Business Activities (OBAs) by providing access to the world’s largest open database of company information. This integration enables compliance teams to proactively uncover OBAs that may not have been properly disclosed by registered representatives or associated persons. By cross-referencing employee disclosures with OpenCorporates data, firms can detect potential gaps or discrepancies that may otherwise go unnoticed.
Your risk team thinks you’re dealing with Acme Corp, finance books it in as ACME CO, and marketing targets Acme Corporation in New York. Three “different” customers that are, in fact, the same legal entity. Multiply that by thousands of records, and duplicate data quietly drains budgets, derails onboarding, and invites regulatory fines every single day. One missed connection can green-light a sanctioned counter-party or sink a multi-million-dollar deal. The race to nail down a golden record for every business has never been more urgent.
Corporate fraud has always hidden behind paperwork. Until recently that paperwork (articles of incorporation, officer lists, change-of-address forms) sat in 50 state silos, traditionally as PDFs and TIFF scans, which are essentially digital images of paper documents. OpenCorporates’ now sources, cleans, and normalises that data into machine-readable tables, refreshing most jurisdictions weekly or even daily.