Opencorporates The Largest Open Database Of Companies In The World

OpenCorporates is a database which aims to gather information on all the companies in the world. The database currently offers information on 50 million companies in 65 different jurisdictions. You want to know more about Nike, Facebook and McDonald's? OpenCorporates aims to do a straightforward (though big) thing: have a URL for every company in the world. OpenCorporates is probably the largest open database of companies in the world. You can search more than 84 million companies and directors from all jurisdictions.

If you are an investigative journalist, researcher, an activist or simply a curious citizen you can dive into the incredible amounts of data released by OpenCorporates and download it under Open Database license. You can query OpenCorporates from the homepage, use the API, or download the data to include it into your research or website. Information that can be found on OpenCorporates includes a company's incorporation date, its registered addresses and its registry page, as well as a list of directors and officers. The largest open database of company data in the world, with data from over 140 registries. OpenCorporates is a global database of companies, their directors and regulatory filings. We provide links to OpenCorporates for entities that exist both in our database and in the OpenCorporates database.

These links can be used to explore more detail about sanctioned companies. OpenCorporates customers with bulk data or API access can also use the OpenCorporates URL to integrate both datasets, for example to build an in-house knowledge graph with sanctions and company control information. Note: as of May 2022, we have only linked some sanctioned companies to OpenCorporates. In the future, we also hope to create links regarding directors and beneficial owners of companies, for example in cases where the owner is a politicially exposed person (PEP). This dataset contains entities from a larger database that is used to enrich the data in OpenSanctions with additional details and connections. We only include entities from the source where there is a relevant connection to the entities in the main OpenSanctions database (e.g.

to a sanctions target or a politician). Read insights on the latest fintech trends and announcements from our sponsors. OpenCorporates, the world’s largest open database of companies, will make its debut at Money20/20 USA (Oct 26–29, 2025, Las Vegas). The company will showcase how transparent, official company data—covering corporate structures, beneficial ownership, and global connections—empowers fintechs, RegTechs, and financial institutions to meet regulatory demands, enhance KYC/KYB, and combat financial crime. Visit OpenCorporates at Booth #19703 for live demos and exclusive insights. OpenCorporates adopts TigerGraph for Superior Performance and Scalability

REDWOOD CITY, CA - Feb. 13, 2019 - TigerGraph, the world’s fastest graph analytics platform for the enterprise, today announced that OpenCorporates, the world’s largest open database of companies, has chosen TigerGraph as its backend graph database. The move enables OpenCorporates to better support investigative queries over its open database containing records on more than 170 million companies. “OpenCorporates is dedicated to making information on companies more usable and widely available for the public benefit, particularly to bring to light instances of criminal or anti-social activity - such as corruption, money laundering... “As our work continues and our data grows, we had challenges scaling our data to meet our business needs. TigerGraph’s excellent scalability and performance enables us to achieve things we previously could not do, and to better support ongoing investigative work in the process.”

OpenCorporates’ mission is to make information on the world’s companies more usable and accessible for the public benefit. The organization enables web-based search and offers a number of tools to data journalists via its Application Programming Interface (API) to help them find, extract and connect large numbers of companies in automated workflows. The result is substantially reduced time, better performance and the ability for deeper analysis (multi-hop) to support investigative tasks, as users can leverage automation with simple computer scripts to uncover tremendous hidden connections within... OpenCorporates has contributed to a number of groundbreaking investigations, including the Panama Papers (ICIJ), and most recently Narco-a-Lago: Money Laundering at the Trump Ocean Club (Global Witness) and London Property: A Top Destination for... OpenCorporates aims to make information on companies more usable and more widely available for the public benefit, particularly to tackle the use of companies for criminal purposes, such as corruption and money laundering. It is the largest open database of company data in the world, with in excess of 100 million companies.

Understanding how companies connect has become a critical part of modern business intelligence. For assessing risk, managing compliance, or researching markets, you need to know more than just a company’s name and registration number - you need to know who owns what and how those entities relate. OpenCorporates, the world’s largest open database of legal entity data, will make its debut at Money20/20 USA (Oct 26–29, 2025, Las Vegas). The company will showcase how standardised, transparent, official legal entity data empowers fintechs, RegTechs, and financial institutions to meet regulatory demands, enhance KYC/KYB, and combat financial crime. Visit OpenCorporates at Booth #19703 for live demos and exclusive insights. The Santo Tequila case is a classic example of double brokering - when one freight company passes a shipment to another, and then another.

At some point in the chain, a non-existent “carrier” steps in. These so-called phantom carriers look credible: they have names like Acme Logistics LLC, registered phone numbers, even government-issued identification numbers. But behind them, there’s often no legal entity, no employees, and sometimes not even a real address. They win contracts, move goods - and then disappear. 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.

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